diff options
145 files changed, 9124 insertions, 172 deletions
diff --git a/logs/ogbg-molbace_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-molbace_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..6fad787 --- /dev/null +++ b/logs/ogbg-molbace_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,278 @@ +[run] ogbg-molbace view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.62747 val_adapt_rocauc=0.63956 adapt_steps=5.64 halt=0.17 train_steps=4.09 +ep20 val_rocauc=0.40916 val_adapt_rocauc=0.38755 adapt_steps=2.62 halt=0.15 train_steps=4.15 +ep30 val_rocauc=0.45714 val_adapt_rocauc=0.49011 adapt_steps=5.73 halt=0.17 train_steps=4.04 +ep40 val_rocauc=0.56740 val_adapt_rocauc=0.60037 adapt_steps=3.81 halt=0.24 train_steps=3.51 +ep50 val_rocauc=0.43443 val_adapt_rocauc=0.43736 adapt_steps=4.63 halt=0.20 train_steps=3.57 +ep60 val_rocauc=0.66557 val_adapt_rocauc=0.67289 adapt_steps=4.50 halt=0.22 train_steps=3.60 +ep70 val_rocauc=0.65018 val_adapt_rocauc=0.65604 adapt_steps=4.30 halt=0.27 train_steps=3.14 +ep80 val_rocauc=0.68022 val_adapt_rocauc=0.66520 adapt_steps=4.40 halt=0.30 train_steps=2.85 +ep90 val_rocauc=0.67216 val_adapt_rocauc=0.67070 adapt_steps=4.48 halt=0.27 train_steps=3.13 +ep100 val_rocauc=0.67582 val_adapt_rocauc=0.66447 adapt_steps=4.34 halt=0.30 train_steps=2.93 +[ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.6802197802197802} test={'rocauc': 0.723526343244653} adaptive={'rocauc': 0.721961398017736} steps=3.473684210526316 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.58205 val_adapt_rocauc=0.58462 adapt_steps=7.00 halt=0.27 train_steps=3.01 +ep20 val_rocauc=0.54835 val_adapt_rocauc=0.55495 adapt_steps=7.38 halt=0.13 train_steps=4.38 +ep30 val_rocauc=0.64542 val_adapt_rocauc=0.57033 adapt_steps=4.30 halt=0.15 train_steps=4.25 +ep40 val_rocauc=0.47033 val_adapt_rocauc=0.49597 adapt_steps=4.36 halt=0.18 train_steps=3.89 +ep50 val_rocauc=0.57619 val_adapt_rocauc=0.55971 adapt_steps=4.50 halt=0.18 train_steps=3.77 +ep60 val_rocauc=0.56593 val_adapt_rocauc=0.57143 adapt_steps=4.76 halt=0.24 train_steps=3.54 +ep70 val_rocauc=0.68242 val_adapt_rocauc=0.69780 adapt_steps=3.98 halt=0.25 train_steps=3.42 +ep80 val_rocauc=0.65897 val_adapt_rocauc=0.66081 adapt_steps=4.22 halt=0.26 train_steps=3.37 +ep90 val_rocauc=0.63187 val_adapt_rocauc=0.63150 adapt_steps=4.58 halt=0.24 train_steps=3.38 +ep100 val_rocauc=0.62381 val_adapt_rocauc=0.62637 adapt_steps=4.89 halt=0.25 train_steps=3.32 +[ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.6824175824175824} test={'rocauc': 0.7718657624760911} adaptive={'rocauc': 0.7697791688402017} steps=3.1710526315789473 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.59927 val_adapt_rocauc=0.60696 adapt_steps=5.45 halt=0.21 train_steps=3.53 +ep20 val_rocauc=0.61245 val_adapt_rocauc=0.60147 adapt_steps=4.89 halt=0.21 train_steps=3.54 +ep30 val_rocauc=0.71941 val_adapt_rocauc=0.72015 adapt_steps=4.09 halt=0.24 train_steps=3.64 +ep40 val_rocauc=0.66923 val_adapt_rocauc=0.67692 adapt_steps=4.70 halt=0.21 train_steps=3.73 +ep50 val_rocauc=0.72015 val_adapt_rocauc=0.70220 adapt_steps=4.28 halt=0.27 train_steps=3.33 +ep60 val_rocauc=0.66264 val_adapt_rocauc=0.67546 adapt_steps=4.85 halt=0.30 train_steps=2.94 +ep70 val_rocauc=0.57619 val_adapt_rocauc=0.57766 adapt_steps=3.40 halt=0.29 train_steps=3.02 +ep80 val_rocauc=0.60147 val_adapt_rocauc=0.61648 adapt_steps=3.09 halt=0.34 train_steps=2.52 +ep90 val_rocauc=0.63480 val_adapt_rocauc=0.63773 adapt_steps=3.01 halt=0.37 train_steps=2.41 +ep100 val_rocauc=0.63810 val_adapt_rocauc=0.63883 adapt_steps=2.89 halt=0.39 train_steps=2.20 +[ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7201465201465201} test={'rocauc': 0.7483915840723353} adaptive={'rocauc': 0.7450878108155105} steps=3.960526315789474 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.57070 val_adapt_rocauc=0.60293 adapt_steps=5.37 halt=0.30 train_steps=2.89 +ep20 val_rocauc=0.56520 val_adapt_rocauc=0.57692 adapt_steps=6.33 halt=0.20 train_steps=3.67 +ep30 val_rocauc=0.59670 val_adapt_rocauc=0.60916 adapt_steps=3.97 halt=0.25 train_steps=3.37 +ep40 val_rocauc=0.62564 val_adapt_rocauc=0.62454 adapt_steps=2.83 halt=0.30 train_steps=3.03 +ep50 val_rocauc=0.69634 val_adapt_rocauc=0.69597 adapt_steps=4.89 halt=0.23 train_steps=3.60 +ep60 val_rocauc=0.64286 val_adapt_rocauc=0.63480 adapt_steps=3.69 halt=0.26 train_steps=3.31 +ep70 val_rocauc=0.70916 val_adapt_rocauc=0.71502 adapt_steps=4.54 halt=0.26 train_steps=3.45 +ep80 val_rocauc=0.63626 val_adapt_rocauc=0.65897 adapt_steps=4.31 halt=0.28 train_steps=3.07 +ep90 val_rocauc=0.64066 val_adapt_rocauc=0.63590 adapt_steps=3.86 halt=0.32 train_steps=2.74 +ep100 val_rocauc=0.64066 val_adapt_rocauc=0.64835 adapt_steps=3.68 halt=0.30 train_steps=2.89 +[ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.7091575091575092} test={'rocauc': 0.7821248478525474} adaptive={'rocauc': 0.7909928708050773} steps=3.75 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.68608 val_adapt_rocauc=0.68938 adapt_steps=7.89 halt=0.17 train_steps=3.74 +ep20 val_rocauc=0.63260 val_adapt_rocauc=0.62674 adapt_steps=5.79 halt=0.21 train_steps=3.57 +ep30 val_rocauc=0.61612 val_adapt_rocauc=0.64615 adapt_steps=5.33 halt=0.23 train_steps=3.07 +ep40 val_rocauc=0.71319 val_adapt_rocauc=0.71978 adapt_steps=4.52 halt=0.23 train_steps=3.55 +ep50 val_rocauc=0.66960 val_adapt_rocauc=0.65458 adapt_steps=5.34 halt=0.21 train_steps=3.69 +ep60 val_rocauc=0.69927 val_adapt_rocauc=0.68571 adapt_steps=5.17 halt=0.21 train_steps=3.63 +ep70 val_rocauc=0.63956 val_adapt_rocauc=0.64652 adapt_steps=4.17 halt=0.28 train_steps=3.24 +ep80 val_rocauc=0.63333 val_adapt_rocauc=0.63260 adapt_steps=3.86 halt=0.26 train_steps=3.23 +ep90 val_rocauc=0.64103 val_adapt_rocauc=0.65714 adapt_steps=2.97 halt=0.34 train_steps=2.71 +ep100 val_rocauc=0.63297 val_adapt_rocauc=0.63773 adapt_steps=3.26 halt=0.32 train_steps=2.75 +[ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.7131868131868132} test={'rocauc': 0.8261171970092158} adaptive={'rocauc': 0.8262910798122065} steps=4.006578947368421 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.56081 val_adapt_rocauc=0.58388 adapt_steps=6.43 halt=0.27 train_steps=3.07 +ep20 val_rocauc=0.61245 val_adapt_rocauc=0.59780 adapt_steps=7.42 halt=0.18 train_steps=3.93 +ep30 val_rocauc=0.69084 val_adapt_rocauc=0.69231 adapt_steps=5.89 halt=0.22 train_steps=3.39 +ep40 val_rocauc=0.66154 val_adapt_rocauc=0.66520 adapt_steps=3.93 halt=0.21 train_steps=3.61 +ep50 val_rocauc=0.57399 val_adapt_rocauc=0.60147 adapt_steps=3.54 halt=0.32 train_steps=2.79 +ep60 val_rocauc=0.67546 val_adapt_rocauc=0.69011 adapt_steps=3.45 halt=0.30 train_steps=2.92 +ep70 val_rocauc=0.61099 val_adapt_rocauc=0.62564 adapt_steps=3.86 halt=0.33 train_steps=2.69 +ep80 val_rocauc=0.65275 val_adapt_rocauc=0.65458 adapt_steps=3.17 halt=0.37 train_steps=2.41 +ep90 val_rocauc=0.66740 val_adapt_rocauc=0.66703 adapt_steps=3.09 halt=0.40 train_steps=2.22 +ep100 val_rocauc=0.67766 val_adapt_rocauc=0.67875 adapt_steps=3.11 halt=0.36 train_steps=2.30 +[ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.6908424908424909} test={'rocauc': 0.7475221700573813} adaptive={'rocauc': 0.7638671535385151} steps=4.276315789473684 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.63223 val_adapt_rocauc=0.64322 adapt_steps=6.61 halt=0.18 train_steps=3.96 +ep20 val_rocauc=0.54066 val_adapt_rocauc=0.57179 adapt_steps=7.52 halt=0.18 train_steps=3.90 +ep30 val_rocauc=0.51538 val_adapt_rocauc=0.54872 adapt_steps=3.85 halt=0.19 train_steps=3.74 +ep40 val_rocauc=0.61978 val_adapt_rocauc=0.59597 adapt_steps=3.91 halt=0.24 train_steps=3.50 +ep50 val_rocauc=0.57106 val_adapt_rocauc=0.58095 adapt_steps=3.20 halt=0.26 train_steps=3.27 +ep60 val_rocauc=0.62967 val_adapt_rocauc=0.62747 adapt_steps=5.23 halt=0.28 train_steps=3.29 +ep70 val_rocauc=0.61575 val_adapt_rocauc=0.62857 adapt_steps=3.82 halt=0.35 train_steps=2.50 +ep80 val_rocauc=0.65348 val_adapt_rocauc=0.65385 adapt_steps=3.36 halt=0.37 train_steps=2.42 +ep90 val_rocauc=0.64103 val_adapt_rocauc=0.63114 adapt_steps=3.39 halt=0.36 train_steps=2.45 +ep100 val_rocauc=0.64396 val_adapt_rocauc=0.62784 adapt_steps=3.23 halt=0.37 train_steps=2.26 +[ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.6534798534798535} test={'rocauc': 0.7191792731698834} adaptive={'rocauc': 0.729264475743349} steps=2.710526315789474 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rocauc=0.59634 val_adapt_rocauc=0.59707 adapt_steps=7.95 halt=0.19 train_steps=3.73 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep20 val_rocauc=0.70952 val_adapt_rocauc=0.58462 adapt_steps=3.56 halt=0.17 train_steps=3.89 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep30 val_rocauc=0.62454 val_adapt_rocauc=0.62454 adapt_steps=7.94 halt=0.18 train_steps=3.65 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep40 val_rocauc=0.50879 val_adapt_rocauc=0.50623 adapt_steps=7.53 halt=0.13 train_steps=4.40 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep50 val_rocauc=0.51941 val_adapt_rocauc=0.51319 adapt_steps=6.01 halt=0.18 train_steps=3.86 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep60 val_rocauc=0.64579 val_adapt_rocauc=0.65238 adapt_steps=6.48 halt=0.18 train_steps=3.94 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep70 val_rocauc=0.64249 val_adapt_rocauc=0.63333 adapt_steps=4.91 halt=0.24 train_steps=3.31 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep80 val_rocauc=0.60293 val_adapt_rocauc=0.60806 adapt_steps=5.57 halt=0.22 train_steps=3.46 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep90 val_rocauc=0.61209 val_adapt_rocauc=0.60952 adapt_steps=5.67 halt=0.23 train_steps=3.43 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep100 val_rocauc=0.61465 val_adapt_rocauc=0.62491 adapt_steps=6.01 halt=0.23 train_steps=3.48 +[ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=20 val={'rocauc': 0.7095238095238096} test={'rocauc': 0.7809076682316118} adaptive={'rocauc': 0.7337854286211093} steps=3.914473684210526 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.43187 val_adapt_rocauc=0.56960 adapt_steps=3.77 halt=0.20 train_steps=4.07 +ep20 val_rocauc=0.58755 val_adapt_rocauc=0.58315 adapt_steps=6.03 halt=0.16 train_steps=4.18 +ep30 val_rocauc=0.65165 val_adapt_rocauc=0.65201 adapt_steps=7.28 halt=0.17 train_steps=4.07 +ep40 val_rocauc=0.56667 val_adapt_rocauc=0.56703 adapt_steps=7.34 halt=0.19 train_steps=3.89 +ep50 val_rocauc=0.56703 val_adapt_rocauc=0.55275 adapt_steps=5.61 halt=0.21 train_steps=3.62 +ep60 val_rocauc=0.65348 val_adapt_rocauc=0.64286 adapt_steps=4.45 halt=0.28 train_steps=3.22 +ep70 val_rocauc=0.60403 val_adapt_rocauc=0.60623 adapt_steps=6.13 halt=0.20 train_steps=3.81 +ep80 val_rocauc=0.61685 val_adapt_rocauc=0.62051 adapt_steps=4.32 halt=0.29 train_steps=2.95 +ep90 val_rocauc=0.62308 val_adapt_rocauc=0.63223 adapt_steps=4.03 halt=0.32 train_steps=2.75 +ep100 val_rocauc=0.63150 val_adapt_rocauc=0.64066 adapt_steps=3.91 halt=0.31 train_steps=2.88 +[ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.6534798534798535} test={'rocauc': 0.6915319074943488} adaptive={'rocauc': 0.6788384628760215} steps=3.9802631578947367 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.62637 val_adapt_rocauc=0.61355 adapt_steps=6.25 halt=0.18 train_steps=3.97 +ep20 val_rocauc=0.57436 val_adapt_rocauc=0.57473 adapt_steps=7.62 halt=0.14 train_steps=4.26 +ep30 val_rocauc=0.54359 val_adapt_rocauc=0.56227 adapt_steps=6.98 halt=0.16 train_steps=4.10 +ep40 val_rocauc=0.59689 val_adapt_rocauc=0.58095 adapt_steps=6.34 halt=0.17 train_steps=4.15 +ep50 val_rocauc=0.61868 val_adapt_rocauc=0.61648 adapt_steps=7.64 halt=0.16 train_steps=4.16 +ep60 val_rocauc=0.59634 val_adapt_rocauc=0.59890 adapt_steps=6.07 halt=0.19 train_steps=3.90 +ep70 val_rocauc=0.64670 val_adapt_rocauc=0.64725 adapt_steps=6.14 halt=0.22 train_steps=3.54 +ep80 val_rocauc=0.59744 val_adapt_rocauc=0.59359 adapt_steps=5.54 halt=0.22 train_steps=3.55 +ep90 val_rocauc=0.63333 val_adapt_rocauc=0.63187 adapt_steps=5.75 halt=0.23 train_steps=3.63 +ep100 val_rocauc=0.62381 val_adapt_rocauc=0.61703 adapt_steps=5.77 halt=0.24 train_steps=3.54 +[ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.6467032967032967} test={'rocauc': 0.6802295252999478} adaptive={'rocauc': 0.6732742131803164} steps=5.256578947368421 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.61245 val_adapt_rocauc=0.64286 adapt_steps=7.03 halt=0.17 train_steps=3.93 +ep20 val_rocauc=0.53004 val_adapt_rocauc=0.55201 adapt_steps=5.85 halt=0.25 train_steps=3.12 +ep30 val_rocauc=0.69158 val_adapt_rocauc=0.65897 adapt_steps=3.81 halt=0.27 train_steps=3.13 +ep40 val_rocauc=0.58132 val_adapt_rocauc=0.57509 adapt_steps=4.23 halt=0.26 train_steps=3.03 +ep50 val_rocauc=0.73956 val_adapt_rocauc=0.72930 adapt_steps=4.14 halt=0.26 train_steps=3.32 +ep60 val_rocauc=0.67766 val_adapt_rocauc=0.67253 adapt_steps=5.34 halt=0.25 train_steps=3.32 +ep70 val_rocauc=0.72418 val_adapt_rocauc=0.72967 adapt_steps=3.80 halt=0.30 train_steps=2.96 +ep80 val_rocauc=0.71062 val_adapt_rocauc=0.69963 adapt_steps=3.62 halt=0.28 train_steps=3.28 +ep90 val_rocauc=0.71538 val_adapt_rocauc=0.71612 adapt_steps=3.32 halt=0.34 train_steps=2.66 +ep100 val_rocauc=0.69963 val_adapt_rocauc=0.69670 adapt_steps=3.08 halt=0.33 train_steps=2.65 +[ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7395604395604396} test={'rocauc': 0.7313510693792384} adaptive={'rocauc': 0.7617805599026256} steps=3.388157894736842 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.65641 val_adapt_rocauc=0.66630 adapt_steps=5.21 halt=0.15 train_steps=4.34 +ep20 val_rocauc=0.54725 val_adapt_rocauc=0.53040 adapt_steps=4.77 halt=0.20 train_steps=3.52 +ep30 val_rocauc=0.51172 val_adapt_rocauc=0.58132 adapt_steps=4.25 halt=0.18 train_steps=3.92 +ep40 val_rocauc=0.52821 val_adapt_rocauc=0.54835 adapt_steps=2.84 halt=0.30 train_steps=2.92 +ep50 val_rocauc=0.62088 val_adapt_rocauc=0.63736 adapt_steps=3.09 halt=0.32 train_steps=2.79 +ep60 val_rocauc=0.70842 val_adapt_rocauc=0.69707 adapt_steps=2.97 halt=0.36 train_steps=2.52 +ep70 val_rocauc=0.68938 val_adapt_rocauc=0.72711 adapt_steps=3.27 halt=0.35 train_steps=2.61 +ep80 val_rocauc=0.63516 val_adapt_rocauc=0.66667 adapt_steps=2.93 halt=0.39 train_steps=2.19 +ep90 val_rocauc=0.62894 val_adapt_rocauc=0.65861 adapt_steps=2.70 halt=0.39 train_steps=2.17 +ep100 val_rocauc=0.62930 val_adapt_rocauc=0.66154 adapt_steps=2.59 halt=0.40 train_steps=2.06 +[ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7084249084249085} test={'rocauc': 0.7960354720918101} adaptive={'rocauc': 0.7776038949747869} steps=2.5526315789473686 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.56667 val_adapt_rocauc=0.65934 adapt_steps=5.01 halt=0.16 train_steps=4.12 +ep20 val_rocauc=0.62637 val_adapt_rocauc=0.63626 adapt_steps=5.57 halt=0.17 train_steps=4.08 +ep30 val_rocauc=0.57985 val_adapt_rocauc=0.58498 adapt_steps=6.50 halt=0.21 train_steps=3.54 +ep40 val_rocauc=0.64286 val_adapt_rocauc=0.64469 adapt_steps=6.27 halt=0.20 train_steps=3.71 +ep50 val_rocauc=0.65678 val_adapt_rocauc=0.68791 adapt_steps=4.30 halt=0.25 train_steps=3.33 +ep60 val_rocauc=0.66154 val_adapt_rocauc=0.66410 adapt_steps=3.97 halt=0.25 train_steps=3.40 +ep70 val_rocauc=0.64799 val_adapt_rocauc=0.63223 adapt_steps=3.69 halt=0.27 train_steps=3.13 +ep80 val_rocauc=0.63114 val_adapt_rocauc=0.62711 adapt_steps=4.02 halt=0.29 train_steps=3.02 +ep90 val_rocauc=0.64103 val_adapt_rocauc=0.62125 adapt_steps=3.56 halt=0.31 train_steps=2.86 +ep100 val_rocauc=0.63223 val_adapt_rocauc=0.61795 adapt_steps=3.49 halt=0.33 train_steps=2.77 +[ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.6615384615384615} test={'rocauc': 0.7970787689097547} adaptive={'rocauc': 0.7988175969396626} steps=3.638157894736842 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.63846 val_adapt_rocauc=0.65495 adapt_steps=4.03 halt=0.18 train_steps=3.80 +ep20 val_rocauc=0.67143 val_adapt_rocauc=0.69011 adapt_steps=4.54 halt=0.19 train_steps=3.98 +ep30 val_rocauc=0.61245 val_adapt_rocauc=0.69084 adapt_steps=3.26 halt=0.28 train_steps=2.95 +ep40 val_rocauc=0.59817 val_adapt_rocauc=0.60879 adapt_steps=3.16 halt=0.28 train_steps=3.20 +ep50 val_rocauc=0.67729 val_adapt_rocauc=0.68498 adapt_steps=3.72 halt=0.33 train_steps=2.63 +ep60 val_rocauc=0.65714 val_adapt_rocauc=0.68938 adapt_steps=3.75 halt=0.34 train_steps=2.55 +ep70 val_rocauc=0.71648 val_adapt_rocauc=0.73810 adapt_steps=2.87 halt=0.41 train_steps=2.00 +ep80 val_rocauc=0.70440 val_adapt_rocauc=0.70366 adapt_steps=2.56 halt=0.42 train_steps=2.02 +ep90 val_rocauc=0.67656 val_adapt_rocauc=0.68315 adapt_steps=2.33 halt=0.46 train_steps=1.67 +ep100 val_rocauc=0.67729 val_adapt_rocauc=0.68352 adapt_steps=2.35 halt=0.45 train_steps=1.70 +[ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.7164835164835166} test={'rocauc': 0.8007303077725613} adaptive={'rocauc': 0.8120326899669622} steps=2.598684210526316 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.62711 val_adapt_rocauc=0.60293 adapt_steps=4.62 halt=0.25 train_steps=3.40 +ep20 val_rocauc=0.68095 val_adapt_rocauc=0.63114 adapt_steps=4.19 halt=0.27 train_steps=3.04 +ep30 val_rocauc=0.53516 val_adapt_rocauc=0.52125 adapt_steps=6.76 halt=0.21 train_steps=3.47 +ep40 val_rocauc=0.72564 val_adapt_rocauc=0.74139 adapt_steps=4.15 halt=0.26 train_steps=3.14 +ep50 val_rocauc=0.73553 val_adapt_rocauc=0.73480 adapt_steps=4.72 halt=0.26 train_steps=3.28 +ep60 val_rocauc=0.68278 val_adapt_rocauc=0.61465 adapt_steps=3.82 halt=0.30 train_steps=2.82 +ep70 val_rocauc=0.70659 val_adapt_rocauc=0.71245 adapt_steps=3.50 halt=0.34 train_steps=2.66 +ep80 val_rocauc=0.69853 val_adapt_rocauc=0.68718 adapt_steps=3.68 halt=0.34 train_steps=2.53 +ep90 val_rocauc=0.69597 val_adapt_rocauc=0.68901 adapt_steps=2.83 halt=0.40 train_steps=2.18 +ep100 val_rocauc=0.68828 val_adapt_rocauc=0.67766 adapt_steps=2.85 halt=0.39 train_steps=2.21 +[ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7355311355311356} test={'rocauc': 0.7450878108155102} adaptive={'rocauc': 0.7645626847504782} steps=4.375 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.74066 val_adapt_rocauc=0.75311 adapt_steps=6.21 halt=0.21 train_steps=3.61 +ep20 val_rocauc=0.68388 val_adapt_rocauc=0.68755 adapt_steps=6.04 halt=0.22 train_steps=3.45 +ep30 val_rocauc=0.77473 val_adapt_rocauc=0.74725 adapt_steps=5.03 halt=0.19 train_steps=3.88 +ep40 val_rocauc=0.63260 val_adapt_rocauc=0.63773 adapt_steps=5.52 halt=0.26 train_steps=3.11 +ep50 val_rocauc=0.62894 val_adapt_rocauc=0.63260 adapt_steps=3.91 halt=0.29 train_steps=2.98 +ep60 val_rocauc=0.70586 val_adapt_rocauc=0.69927 adapt_steps=3.87 halt=0.29 train_steps=2.99 +ep70 val_rocauc=0.67656 val_adapt_rocauc=0.67619 adapt_steps=3.77 halt=0.33 train_steps=2.76 +ep80 val_rocauc=0.68022 val_adapt_rocauc=0.67326 adapt_steps=3.08 halt=0.33 train_steps=2.72 +ep90 val_rocauc=0.67179 val_adapt_rocauc=0.66740 adapt_steps=2.82 halt=0.38 train_steps=2.33 +ep100 val_rocauc=0.67949 val_adapt_rocauc=0.68205 adapt_steps=2.88 halt=0.39 train_steps=2.19 +[ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.7747252747252747} test={'rocauc': 0.8019474873934969} adaptive={'rocauc': 0.7949921752738653} steps=4.980263157894737 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbace view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbace --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.55678 val_adapt_rocauc=0.62051 adapt_steps=2.15 halt=0.39 train_steps=2.28 +ep20 val_rocauc=0.68352 val_adapt_rocauc=0.65495 adapt_steps=2.36 halt=0.42 train_steps=1.96 +ep30 val_rocauc=0.63700 val_adapt_rocauc=0.65092 adapt_steps=2.30 halt=0.44 train_steps=1.66 +ep40 val_rocauc=0.61429 val_adapt_rocauc=0.60037 adapt_steps=2.01 halt=0.46 train_steps=1.65 +ep50 val_rocauc=0.59414 val_adapt_rocauc=0.59011 adapt_steps=2.03 halt=0.47 train_steps=1.57 +ep60 val_rocauc=0.61868 val_adapt_rocauc=0.59670 adapt_steps=2.00 halt=0.48 train_steps=1.59 +ep70 val_rocauc=0.58901 val_adapt_rocauc=0.60256 adapt_steps=2.00 halt=0.47 train_steps=1.59 +ep80 val_rocauc=0.56923 val_adapt_rocauc=0.58608 adapt_steps=2.00 halt=0.47 train_steps=1.62 +ep90 val_rocauc=0.57839 val_adapt_rocauc=0.60183 adapt_steps=2.00 halt=0.48 train_steps=1.58 +ep100 val_rocauc=0.58059 val_adapt_rocauc=0.60073 adapt_steps=2.00 halt=0.46 train_steps=1.60 +[ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=20 val={'rocauc': 0.6835164835164835} test={'rocauc': 0.7118761954442705} adaptive={'rocauc': 0.7328290732046601} steps=2.1315789473684212 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-molbbbp_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-molbbbp_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..1402929 --- /dev/null +++ b/logs/ogbg-molbbbp_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,278 @@ +[run] ogbg-molbbbp view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.68724 val_adapt_rocauc=0.69058 adapt_steps=2.34 halt=0.32 train_steps=2.70 +ep20 val_rocauc=0.71443 val_adapt_rocauc=0.73106 adapt_steps=4.76 halt=0.35 train_steps=2.43 +ep30 val_rocauc=0.89704 val_adapt_rocauc=0.89107 adapt_steps=2.92 halt=0.32 train_steps=2.76 +ep40 val_rocauc=0.92044 val_adapt_rocauc=0.93149 adapt_steps=3.13 halt=0.31 train_steps=2.82 +ep50 val_rocauc=0.89326 val_adapt_rocauc=0.91984 adapt_steps=2.52 halt=0.34 train_steps=2.62 +ep60 val_rocauc=0.88529 val_adapt_rocauc=0.90411 adapt_steps=2.35 halt=0.39 train_steps=2.28 +ep70 val_rocauc=0.86876 val_adapt_rocauc=0.88728 adapt_steps=2.40 halt=0.38 train_steps=2.31 +ep80 val_rocauc=0.90929 val_adapt_rocauc=0.91228 adapt_steps=2.47 halt=0.38 train_steps=2.27 +ep90 val_rocauc=0.90491 val_adapt_rocauc=0.90760 adapt_steps=2.26 halt=0.42 train_steps=2.01 +ep100 val_rocauc=0.90979 val_adapt_rocauc=0.91825 adapt_steps=2.25 halt=0.41 train_steps=2.05 +[ogbg-molbbbp_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.92044209897441} test={'rocauc': 0.6527777777777778} adaptive={'rocauc': 0.65258487654321} steps=4.872549019607843 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.90073 val_adapt_rocauc=0.88450 adapt_steps=2.43 halt=0.27 train_steps=3.20 +ep20 val_rocauc=0.92024 val_adapt_rocauc=0.93090 adapt_steps=3.02 halt=0.32 train_steps=2.63 +ep30 val_rocauc=0.85622 val_adapt_rocauc=0.87673 adapt_steps=3.15 halt=0.34 train_steps=2.57 +ep40 val_rocauc=0.89276 val_adapt_rocauc=0.88928 adapt_steps=3.26 halt=0.33 train_steps=2.70 +ep50 val_rocauc=0.91795 val_adapt_rocauc=0.92114 adapt_steps=2.88 halt=0.34 train_steps=2.67 +ep60 val_rocauc=0.91696 val_adapt_rocauc=0.90889 adapt_steps=2.46 halt=0.36 train_steps=2.44 +ep70 val_rocauc=0.90501 val_adapt_rocauc=0.89037 adapt_steps=2.88 halt=0.38 train_steps=2.30 +ep80 val_rocauc=0.92054 val_adapt_rocauc=0.91228 adapt_steps=2.57 halt=0.39 train_steps=2.24 +ep90 val_rocauc=0.90949 val_adapt_rocauc=0.90312 adapt_steps=2.32 halt=0.41 train_steps=2.07 +ep100 val_rocauc=0.91576 val_adapt_rocauc=0.91148 adapt_steps=2.29 halt=0.42 train_steps=2.02 +[ogbg-molbbbp_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.9205416708154933} test={'rocauc': 0.591820987654321} adaptive={'rocauc': 0.5948109567901234} steps=2.9166666666666665 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.82177 val_adapt_rocauc=0.93209 adapt_steps=2.11 halt=0.30 train_steps=2.97 +ep20 val_rocauc=0.88241 val_adapt_rocauc=0.89923 adapt_steps=2.39 halt=0.38 train_steps=2.27 +ep30 val_rocauc=0.84248 val_adapt_rocauc=0.89794 adapt_steps=2.54 halt=0.38 train_steps=2.19 +ep40 val_rocauc=0.95280 val_adapt_rocauc=0.95390 adapt_steps=2.17 halt=0.41 train_steps=2.07 +ep50 val_rocauc=0.89525 val_adapt_rocauc=0.92164 adapt_steps=2.07 halt=0.45 train_steps=1.74 +ep60 val_rocauc=0.93727 val_adapt_rocauc=0.93050 adapt_steps=2.03 halt=0.45 train_steps=1.73 +ep70 val_rocauc=0.92612 val_adapt_rocauc=0.92881 adapt_steps=2.03 halt=0.46 train_steps=1.68 +ep80 val_rocauc=0.91845 val_adapt_rocauc=0.92273 adapt_steps=2.01 halt=0.47 train_steps=1.61 +ep90 val_rocauc=0.91278 val_adapt_rocauc=0.91138 adapt_steps=2.00 halt=0.47 train_steps=1.66 +ep100 val_rocauc=0.91477 val_adapt_rocauc=0.91626 adapt_steps=2.00 halt=0.47 train_steps=1.66 +[ogbg-molbbbp_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.9528029473264961} test={'rocauc': 0.6794945987654321} adaptive={'rocauc': 0.6629050925925926} steps=2.269607843137255 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.94066 val_adapt_rocauc=0.95440 adapt_steps=2.54 halt=0.30 train_steps=2.86 +ep20 val_rocauc=0.93299 val_adapt_rocauc=0.93956 adapt_steps=2.87 halt=0.38 train_steps=2.26 +ep30 val_rocauc=0.83142 val_adapt_rocauc=0.88171 adapt_steps=2.41 halt=0.36 train_steps=2.40 +ep40 val_rocauc=0.87494 val_adapt_rocauc=0.87374 adapt_steps=2.28 halt=0.40 train_steps=2.07 +ep50 val_rocauc=0.92233 val_adapt_rocauc=0.94285 adapt_steps=2.27 halt=0.38 train_steps=2.38 +ep60 val_rocauc=0.86478 val_adapt_rocauc=0.88539 adapt_steps=2.44 halt=0.40 train_steps=2.08 +ep70 val_rocauc=0.91029 val_adapt_rocauc=0.91377 adapt_steps=2.14 halt=0.45 train_steps=1.75 +ep80 val_rocauc=0.92532 val_adapt_rocauc=0.91218 adapt_steps=2.07 halt=0.46 train_steps=1.68 +ep90 val_rocauc=0.90630 val_adapt_rocauc=0.90202 adapt_steps=2.06 halt=0.45 train_steps=1.73 +ep100 val_rocauc=0.90531 val_adapt_rocauc=0.90083 adapt_steps=2.04 halt=0.46 train_steps=1.67 +[ogbg-molbbbp_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=10 val={'rocauc': 0.9406551827143284} test={'rocauc': 0.6039737654320988} adaptive={'rocauc': 0.6147762345679012} steps=2.5686274509803924 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.87544 val_adapt_rocauc=0.89704 adapt_steps=3.72 halt=0.33 train_steps=2.64 +ep20 val_rocauc=0.92492 val_adapt_rocauc=0.94852 adapt_steps=2.61 halt=0.39 train_steps=2.17 +ep30 val_rocauc=0.89804 val_adapt_rocauc=0.93239 adapt_steps=2.27 halt=0.37 train_steps=2.35 +ep40 val_rocauc=0.90511 val_adapt_rocauc=0.92612 adapt_steps=2.27 halt=0.41 train_steps=2.00 +ep50 val_rocauc=0.90103 val_adapt_rocauc=0.89475 adapt_steps=2.46 halt=0.41 train_steps=2.01 +ep60 val_rocauc=0.90401 val_adapt_rocauc=0.89306 adapt_steps=2.24 halt=0.41 train_steps=2.05 +ep70 val_rocauc=0.93030 val_adapt_rocauc=0.91656 adapt_steps=2.10 halt=0.46 train_steps=1.67 +ep80 val_rocauc=0.92233 val_adapt_rocauc=0.90411 adapt_steps=2.09 halt=0.46 train_steps=1.66 +ep90 val_rocauc=0.91546 val_adapt_rocauc=0.89386 adapt_steps=2.11 halt=0.46 train_steps=1.70 +ep100 val_rocauc=0.91287 val_adapt_rocauc=0.88868 adapt_steps=2.09 halt=0.47 train_steps=1.65 +[ogbg-molbbbp_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.9302997112416609} test={'rocauc': 0.6648341049382716} adaptive={'rocauc': 0.6627121913580247} steps=2.1372549019607843 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.83053 val_adapt_rocauc=0.84875 adapt_steps=3.46 halt=0.34 train_steps=2.62 +ep20 val_rocauc=0.71931 val_adapt_rocauc=0.75465 adapt_steps=3.00 halt=0.37 train_steps=2.40 +ep30 val_rocauc=0.88380 val_adapt_rocauc=0.89704 adapt_steps=2.44 halt=0.37 train_steps=2.40 +ep40 val_rocauc=0.89913 val_adapt_rocauc=0.91507 adapt_steps=2.17 halt=0.37 train_steps=2.35 +ep50 val_rocauc=0.88938 val_adapt_rocauc=0.93737 adapt_steps=2.25 halt=0.43 train_steps=1.90 +ep60 val_rocauc=0.92343 val_adapt_rocauc=0.93757 adapt_steps=2.21 halt=0.41 train_steps=2.04 +ep70 val_rocauc=0.87703 val_adapt_rocauc=0.90889 adapt_steps=2.45 halt=0.41 train_steps=1.97 +ep80 val_rocauc=0.89396 val_adapt_rocauc=0.91726 adapt_steps=2.09 halt=0.46 train_steps=1.73 +ep90 val_rocauc=0.86498 val_adapt_rocauc=0.89167 adapt_steps=2.19 halt=0.46 train_steps=1.70 +ep100 val_rocauc=0.87016 val_adapt_rocauc=0.89545 adapt_steps=2.13 halt=0.47 train_steps=1.68 +[ogbg-molbbbp_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.9234292542069104} test={'rocauc': 0.6602044753086419} adaptive={'rocauc': 0.6875} steps=2.7941176470588234 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.87494 val_adapt_rocauc=0.89316 adapt_steps=3.50 halt=0.33 train_steps=2.53 +ep20 val_rocauc=0.88878 val_adapt_rocauc=0.89784 adapt_steps=2.60 halt=0.35 train_steps=2.46 +ep30 val_rocauc=0.85243 val_adapt_rocauc=0.93747 adapt_steps=2.47 halt=0.36 train_steps=2.40 +ep40 val_rocauc=0.93687 val_adapt_rocauc=0.94046 adapt_steps=2.35 halt=0.41 train_steps=2.09 +ep50 val_rocauc=0.90959 val_adapt_rocauc=0.91875 adapt_steps=2.32 halt=0.41 train_steps=2.16 +ep60 val_rocauc=0.93090 val_adapt_rocauc=0.93617 adapt_steps=2.40 halt=0.42 train_steps=1.90 +ep70 val_rocauc=0.93199 val_adapt_rocauc=0.92134 adapt_steps=2.23 halt=0.45 train_steps=1.72 +ep80 val_rocauc=0.93637 val_adapt_rocauc=0.93866 adapt_steps=2.15 halt=0.45 train_steps=1.78 +ep90 val_rocauc=0.93976 val_adapt_rocauc=0.93378 adapt_steps=2.13 halt=0.45 train_steps=1.81 +ep100 val_rocauc=0.93966 val_adapt_rocauc=0.93369 adapt_steps=2.13 halt=0.45 train_steps=1.79 +[ogbg-molbbbp_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.9397590361445782} test={'rocauc': 0.642554012345679} adaptive={'rocauc': 0.6309799382716049} steps=2.2254901960784315 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rocauc=0.92731 val_adapt_rocauc=0.92950 adapt_steps=6.11 halt=0.24 train_steps=3.52 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep20 val_rocauc=0.89097 val_adapt_rocauc=0.90093 adapt_steps=2.08 halt=0.32 train_steps=2.95 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep30 val_rocauc=0.92433 val_adapt_rocauc=0.92502 adapt_steps=3.31 halt=0.34 train_steps=2.56 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep40 val_rocauc=0.93777 val_adapt_rocauc=0.94056 adapt_steps=2.97 halt=0.35 train_steps=2.49 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep50 val_rocauc=0.95001 val_adapt_rocauc=0.95051 adapt_steps=3.67 halt=0.31 train_steps=2.90 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep60 val_rocauc=0.91317 val_adapt_rocauc=0.89913 adapt_steps=2.84 halt=0.37 train_steps=2.45 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep70 val_rocauc=0.94583 val_adapt_rocauc=0.94613 adapt_steps=2.63 halt=0.36 train_steps=2.49 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep80 val_rocauc=0.90770 val_adapt_rocauc=0.90132 adapt_steps=2.44 halt=0.39 train_steps=2.22 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep90 val_rocauc=0.92761 val_adapt_rocauc=0.92482 adapt_steps=2.29 halt=0.42 train_steps=1.98 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep100 val_rocauc=0.92871 val_adapt_rocauc=0.92612 adapt_steps=2.34 halt=0.43 train_steps=1.94 +[ogbg-molbbbp_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.9500149357761626} test={'rocauc': 0.6172839506172839} adaptive={'rocauc': 0.6179591049382716} steps=4.686274509803922 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.78104 val_adapt_rocauc=0.86747 adapt_steps=2.68 halt=0.35 train_steps=2.43 +ep20 val_rocauc=0.89664 val_adapt_rocauc=0.89754 adapt_steps=4.28 halt=0.31 train_steps=2.84 +ep30 val_rocauc=0.92512 val_adapt_rocauc=0.92114 adapt_steps=4.62 halt=0.30 train_steps=3.15 +ep40 val_rocauc=0.88798 val_adapt_rocauc=0.86727 adapt_steps=3.66 halt=0.35 train_steps=2.40 +ep50 val_rocauc=0.92383 val_adapt_rocauc=0.93737 adapt_steps=2.48 halt=0.35 train_steps=2.51 +ep60 val_rocauc=0.91218 val_adapt_rocauc=0.91278 adapt_steps=2.67 halt=0.37 train_steps=2.35 +ep70 val_rocauc=0.90083 val_adapt_rocauc=0.91785 adapt_steps=2.15 halt=0.40 train_steps=2.04 +ep80 val_rocauc=0.91646 val_adapt_rocauc=0.92612 adapt_steps=2.24 halt=0.43 train_steps=1.95 +ep90 val_rocauc=0.91616 val_adapt_rocauc=0.92751 adapt_steps=2.23 halt=0.45 train_steps=1.79 +ep100 val_rocauc=0.90909 val_adapt_rocauc=0.91865 adapt_steps=2.24 halt=0.44 train_steps=1.86 +[ogbg-molbbbp_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.925121975505327} test={'rocauc': 0.6313657407407408} adaptive={'rocauc': 0.6291473765432098} steps=3.7892156862745097 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.65558 val_adapt_rocauc=0.57483 adapt_steps=4.25 halt=0.29 train_steps=2.83 +ep20 val_rocauc=0.89615 val_adapt_rocauc=0.88997 adapt_steps=4.61 halt=0.29 train_steps=3.15 +ep30 val_rocauc=0.91606 val_adapt_rocauc=0.91606 adapt_steps=3.94 halt=0.30 train_steps=2.97 +ep40 val_rocauc=0.87683 val_adapt_rocauc=0.88221 adapt_steps=3.41 halt=0.27 train_steps=3.07 +ep50 val_rocauc=0.93926 val_adapt_rocauc=0.94832 adapt_steps=2.70 halt=0.29 train_steps=3.03 +ep60 val_rocauc=0.92204 val_adapt_rocauc=0.92881 adapt_steps=3.16 halt=0.29 train_steps=2.99 +ep70 val_rocauc=0.89714 val_adapt_rocauc=0.90451 adapt_steps=2.59 halt=0.34 train_steps=2.64 +ep80 val_rocauc=0.91835 val_adapt_rocauc=0.92413 adapt_steps=2.57 halt=0.35 train_steps=2.65 +ep90 val_rocauc=0.91048 val_adapt_rocauc=0.91745 adapt_steps=2.50 halt=0.34 train_steps=2.57 +ep100 val_rocauc=0.92582 val_adapt_rocauc=0.93189 adapt_steps=2.41 halt=0.37 train_steps=2.51 +[ogbg-molbbbp_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.9392611769391616} test={'rocauc': 0.5584490740740741} adaptive={'rocauc': 0.5745563271604939} steps=3.2058823529411766 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.79478 val_adapt_rocauc=0.79906 adapt_steps=4.00 halt=0.30 train_steps=2.83 +ep20 val_rocauc=0.90192 val_adapt_rocauc=0.90431 adapt_steps=2.94 halt=0.36 train_steps=2.35 +ep30 val_rocauc=0.91327 val_adapt_rocauc=0.93100 adapt_steps=2.63 halt=0.36 train_steps=2.32 +ep40 val_rocauc=0.88051 val_adapt_rocauc=0.89535 adapt_steps=2.30 halt=0.37 train_steps=2.38 +ep50 val_rocauc=0.90401 val_adapt_rocauc=0.90829 adapt_steps=2.96 halt=0.37 train_steps=2.33 +ep60 val_rocauc=0.86060 val_adapt_rocauc=0.87822 adapt_steps=2.16 halt=0.41 train_steps=2.03 +ep70 val_rocauc=0.90859 val_adapt_rocauc=0.90770 adapt_steps=2.04 halt=0.44 train_steps=1.88 +ep80 val_rocauc=0.89893 val_adapt_rocauc=0.90581 adapt_steps=2.04 halt=0.45 train_steps=1.76 +ep90 val_rocauc=0.89824 val_adapt_rocauc=0.89893 adapt_steps=2.02 halt=0.45 train_steps=1.72 +ep100 val_rocauc=0.89206 val_adapt_rocauc=0.89406 adapt_steps=2.01 halt=0.45 train_steps=1.74 +[ogbg-molbbbp_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.9132729264164094} test={'rocauc': 0.5753279320987655} adaptive={'rocauc': 0.5887345679012346} steps=3.593137254901961 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.79010 val_adapt_rocauc=0.90242 adapt_steps=2.69 halt=0.30 train_steps=2.96 +ep20 val_rocauc=0.78353 val_adapt_rocauc=0.88868 adapt_steps=2.15 halt=0.32 train_steps=2.81 +ep30 val_rocauc=0.94344 val_adapt_rocauc=0.94145 adapt_steps=2.73 halt=0.38 train_steps=2.31 +ep40 val_rocauc=0.86787 val_adapt_rocauc=0.89565 adapt_steps=2.29 halt=0.39 train_steps=2.18 +ep50 val_rocauc=0.94962 val_adapt_rocauc=0.95420 adapt_steps=2.25 halt=0.40 train_steps=2.20 +ep60 val_rocauc=0.93269 val_adapt_rocauc=0.94374 adapt_steps=2.16 halt=0.41 train_steps=2.00 +ep70 val_rocauc=0.93996 val_adapt_rocauc=0.94155 adapt_steps=2.23 halt=0.42 train_steps=1.93 +ep80 val_rocauc=0.93727 val_adapt_rocauc=0.93598 adapt_steps=2.08 halt=0.46 train_steps=1.75 +ep90 val_rocauc=0.93508 val_adapt_rocauc=0.92691 adapt_steps=2.04 halt=0.46 train_steps=1.73 +ep100 val_rocauc=0.93717 val_adapt_rocauc=0.92980 adapt_steps=2.02 halt=0.46 train_steps=1.69 +[ogbg-molbbbp_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.9496166484118291} test={'rocauc': 0.6579861111111112} adaptive={'rocauc': 0.6550925925925926} steps=2.6176470588235294 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.65259 val_adapt_rocauc=0.79578 adapt_steps=2.69 halt=0.32 train_steps=2.68 +ep20 val_rocauc=0.92612 val_adapt_rocauc=0.94066 adapt_steps=2.18 halt=0.38 train_steps=2.24 +ep30 val_rocauc=0.93478 val_adapt_rocauc=0.94484 adapt_steps=2.27 halt=0.34 train_steps=2.50 +ep40 val_rocauc=0.91576 val_adapt_rocauc=0.94056 adapt_steps=2.19 halt=0.42 train_steps=2.00 +ep50 val_rocauc=0.90760 val_adapt_rocauc=0.92552 adapt_steps=2.36 halt=0.41 train_steps=2.02 +ep60 val_rocauc=0.94753 val_adapt_rocauc=0.95798 adapt_steps=2.07 halt=0.45 train_steps=1.74 +ep70 val_rocauc=0.93647 val_adapt_rocauc=0.94066 adapt_steps=2.13 halt=0.46 train_steps=1.65 +ep80 val_rocauc=0.93289 val_adapt_rocauc=0.93777 adapt_steps=2.06 halt=0.46 train_steps=1.67 +ep90 val_rocauc=0.93817 val_adapt_rocauc=0.94165 adapt_steps=2.05 halt=0.47 train_steps=1.68 +ep100 val_rocauc=0.93757 val_adapt_rocauc=0.93916 adapt_steps=2.03 halt=0.46 train_steps=1.68 +[ogbg-molbbbp_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.947525639749079} test={'rocauc': 0.6593364197530864} adaptive={'rocauc': 0.6675347222222222} steps=2.2549019607843137 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.79966 val_adapt_rocauc=0.83352 adapt_steps=2.95 halt=0.33 train_steps=2.69 +ep20 val_rocauc=0.87763 val_adapt_rocauc=0.88738 adapt_steps=2.30 halt=0.38 train_steps=2.38 +ep30 val_rocauc=0.83511 val_adapt_rocauc=0.87225 adapt_steps=2.24 halt=0.40 train_steps=2.04 +ep40 val_rocauc=0.93578 val_adapt_rocauc=0.94066 adapt_steps=2.38 halt=0.41 train_steps=2.09 +ep50 val_rocauc=0.92881 val_adapt_rocauc=0.92642 adapt_steps=2.17 halt=0.44 train_steps=1.85 +ep60 val_rocauc=0.92353 val_adapt_rocauc=0.91337 adapt_steps=2.12 halt=0.45 train_steps=1.78 +ep70 val_rocauc=0.94962 val_adapt_rocauc=0.94494 adapt_steps=2.03 halt=0.46 train_steps=1.65 +ep80 val_rocauc=0.93986 val_adapt_rocauc=0.93508 adapt_steps=2.13 halt=0.47 train_steps=1.65 +ep90 val_rocauc=0.93080 val_adapt_rocauc=0.91835 adapt_steps=2.03 halt=0.46 train_steps=1.72 +ep100 val_rocauc=0.92433 val_adapt_rocauc=0.91208 adapt_steps=2.03 halt=0.45 train_steps=1.80 +[ogbg-molbbbp_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.9496166484118291} test={'rocauc': 0.6182484567901234} adaptive={'rocauc': 0.611014660493827} steps=2.1666666666666665 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.55989 val_adapt_rocauc=0.61585 adapt_steps=2.59 halt=0.37 train_steps=2.15 +ep20 val_rocauc=0.88748 val_adapt_rocauc=0.93000 adapt_steps=2.67 halt=0.40 train_steps=2.09 +ep30 val_rocauc=0.90172 val_adapt_rocauc=0.91427 adapt_steps=2.22 halt=0.39 train_steps=2.27 +ep40 val_rocauc=0.93269 val_adapt_rocauc=0.93189 adapt_steps=2.33 halt=0.38 train_steps=2.31 +ep50 val_rocauc=0.92771 val_adapt_rocauc=0.92433 adapt_steps=2.20 halt=0.46 train_steps=1.75 +ep60 val_rocauc=0.91228 val_adapt_rocauc=0.91984 adapt_steps=2.14 halt=0.44 train_steps=1.83 +ep70 val_rocauc=0.94046 val_adapt_rocauc=0.93757 adapt_steps=2.02 halt=0.45 train_steps=1.70 +ep80 val_rocauc=0.92273 val_adapt_rocauc=0.92801 adapt_steps=2.06 halt=0.47 train_steps=1.64 +ep90 val_rocauc=0.92154 val_adapt_rocauc=0.92542 adapt_steps=2.08 halt=0.45 train_steps=1.79 +ep100 val_rocauc=0.91845 val_adapt_rocauc=0.92233 adapt_steps=2.07 halt=0.46 train_steps=1.74 +[ogbg-molbbbp_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.9404560390321618} test={'rocauc': 0.6411072530864197} adaptive={'rocauc': 0.636766975308642} steps=2.1519607843137254 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.70109 val_adapt_rocauc=0.81280 adapt_steps=2.37 halt=0.29 train_steps=2.98 +ep20 val_rocauc=0.91815 val_adapt_rocauc=0.92184 adapt_steps=3.19 halt=0.33 train_steps=2.59 +ep30 val_rocauc=0.93030 val_adapt_rocauc=0.94095 adapt_steps=2.34 halt=0.36 train_steps=2.50 +ep40 val_rocauc=0.93677 val_adapt_rocauc=0.94534 adapt_steps=2.69 halt=0.35 train_steps=2.51 +ep50 val_rocauc=0.91098 val_adapt_rocauc=0.91238 adapt_steps=2.40 halt=0.38 train_steps=2.23 +ep60 val_rocauc=0.92184 val_adapt_rocauc=0.92672 adapt_steps=2.20 halt=0.44 train_steps=1.87 +ep70 val_rocauc=0.93598 val_adapt_rocauc=0.93926 adapt_steps=2.13 halt=0.45 train_steps=1.70 +ep80 val_rocauc=0.90790 val_adapt_rocauc=0.91785 adapt_steps=2.10 halt=0.47 train_steps=1.64 +ep90 val_rocauc=0.89864 val_adapt_rocauc=0.91019 adapt_steps=2.09 halt=0.47 train_steps=1.65 +ep100 val_rocauc=0.89406 val_adapt_rocauc=0.90561 adapt_steps=2.11 halt=0.46 train_steps=1.70 +[ogbg-molbbbp_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.936771880912078} test={'rocauc': 0.662133487654321} adaptive={'rocauc': 0.667824074074074} steps=3.5441176470588234 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molbbbp view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molbbbp --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.84975 val_adapt_rocauc=0.88719 adapt_steps=2.18 halt=0.43 train_steps=1.80 +ep20 val_rocauc=0.88748 val_adapt_rocauc=0.92572 adapt_steps=2.08 halt=0.47 train_steps=1.62 +ep30 val_rocauc=0.78114 val_adapt_rocauc=0.87962 adapt_steps=2.04 halt=0.46 train_steps=1.63 +ep40 val_rocauc=0.86936 val_adapt_rocauc=0.91825 adapt_steps=2.01 halt=0.47 train_steps=1.63 +ep50 val_rocauc=0.90660 val_adapt_rocauc=0.93378 adapt_steps=2.00 halt=0.46 train_steps=1.65 +ep60 val_rocauc=0.82316 val_adapt_rocauc=0.90620 adapt_steps=2.01 halt=0.46 train_steps=1.68 +ep70 val_rocauc=0.86389 val_adapt_rocauc=0.90242 adapt_steps=2.00 halt=0.46 train_steps=1.70 +ep80 val_rocauc=0.82684 val_adapt_rocauc=0.89884 adapt_steps=2.02 halt=0.46 train_steps=1.68 +ep90 val_rocauc=0.81639 val_adapt_rocauc=0.89884 adapt_steps=2.01 halt=0.47 train_steps=1.70 +ep100 val_rocauc=0.82445 val_adapt_rocauc=0.90192 adapt_steps=2.01 halt=0.46 train_steps=1.64 +[ogbg-molbbbp_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.9066016130638256} test={'rocauc': 0.5573881172839507} adaptive={'rocauc': 0.6225887345679013} steps=2.014705882352941 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molbbbp_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-molclintox_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-molclintox_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..fdfc936 --- /dev/null +++ b/logs/ogbg-molclintox_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,278 @@ +[run] ogbg-molclintox view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.77209 val_adapt_rocauc=0.80519 adapt_steps=2.72 halt=0.34 train_steps=2.51 +ep20 val_rocauc=0.78183 val_adapt_rocauc=0.80016 adapt_steps=2.06 halt=0.37 train_steps=2.64 +ep30 val_rocauc=0.78255 val_adapt_rocauc=0.76576 adapt_steps=4.13 halt=0.34 train_steps=2.65 +ep40 val_rocauc=0.94888 val_adapt_rocauc=0.93689 adapt_steps=2.55 halt=0.37 train_steps=2.28 +ep50 val_rocauc=0.88011 val_adapt_rocauc=0.87381 adapt_steps=2.15 halt=0.38 train_steps=2.23 +ep60 val_rocauc=0.95997 val_adapt_rocauc=0.96159 adapt_steps=2.24 halt=0.37 train_steps=2.55 +ep70 val_rocauc=0.92487 val_adapt_rocauc=0.91931 adapt_steps=2.11 halt=0.39 train_steps=2.34 +ep80 val_rocauc=0.93713 val_adapt_rocauc=0.92883 adapt_steps=2.45 halt=0.42 train_steps=2.15 +ep90 val_rocauc=0.94286 val_adapt_rocauc=0.93582 adapt_steps=2.32 halt=0.41 train_steps=2.08 +ep100 val_rocauc=0.93878 val_adapt_rocauc=0.92695 adapt_steps=2.21 halt=0.40 train_steps=2.15 +[ogbg-molclintox_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.9599674972914409} test={'rocauc': 0.8033521009279533} adaptive={'rocauc': 0.8111476036562055} steps=2.7094594594594597 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.76383 val_adapt_rocauc=0.77994 adapt_steps=2.01 halt=0.36 train_steps=2.43 +ep20 val_rocauc=0.80870 val_adapt_rocauc=0.86788 adapt_steps=3.20 halt=0.36 train_steps=2.52 +ep30 val_rocauc=0.75884 val_adapt_rocauc=0.80281 adapt_steps=2.47 halt=0.35 train_steps=2.59 +ep40 val_rocauc=0.86243 val_adapt_rocauc=0.89579 adapt_steps=2.90 halt=0.34 train_steps=2.62 +ep50 val_rocauc=0.89135 val_adapt_rocauc=0.86760 adapt_steps=2.41 halt=0.38 train_steps=2.29 +ep60 val_rocauc=0.90485 val_adapt_rocauc=0.88818 adapt_steps=2.26 halt=0.40 train_steps=2.20 +ep70 val_rocauc=0.93950 val_adapt_rocauc=0.93379 adapt_steps=2.16 halt=0.39 train_steps=2.27 +ep80 val_rocauc=0.94562 val_adapt_rocauc=0.91967 adapt_steps=2.22 halt=0.40 train_steps=2.25 +ep90 val_rocauc=0.93472 val_adapt_rocauc=0.91171 adapt_steps=2.22 halt=0.41 train_steps=2.02 +ep100 val_rocauc=0.93612 val_adapt_rocauc=0.91308 adapt_steps=2.22 halt=0.41 train_steps=2.14 +[ogbg-molclintox_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.9456195213237466} test={'rocauc': 0.9048100649914852} adaptive={'rocauc': 0.9068831891008932} steps=2.2972972972972974 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.85640 val_adapt_rocauc=0.82455 adapt_steps=2.11 halt=0.38 train_steps=2.49 +ep20 val_rocauc=0.82161 val_adapt_rocauc=0.86794 adapt_steps=2.25 halt=0.42 train_steps=1.95 +ep30 val_rocauc=0.90791 val_adapt_rocauc=0.90606 adapt_steps=2.48 halt=0.40 train_steps=2.22 +ep40 val_rocauc=0.87426 val_adapt_rocauc=0.86053 adapt_steps=2.28 halt=0.39 train_steps=2.23 +ep50 val_rocauc=0.90999 val_adapt_rocauc=0.93044 adapt_steps=2.48 halt=0.40 train_steps=2.19 +ep60 val_rocauc=0.92425 val_adapt_rocauc=0.92174 adapt_steps=2.33 halt=0.43 train_steps=1.93 +ep70 val_rocauc=0.91453 val_adapt_rocauc=0.92876 adapt_steps=2.26 halt=0.42 train_steps=2.06 +ep80 val_rocauc=0.94111 val_adapt_rocauc=0.92515 adapt_steps=2.18 halt=0.44 train_steps=1.91 +ep90 val_rocauc=0.94603 val_adapt_rocauc=0.94386 adapt_steps=2.16 halt=0.43 train_steps=1.97 +ep100 val_rocauc=0.93669 val_adapt_rocauc=0.93404 adapt_steps=2.24 halt=0.42 train_steps=1.93 +[ogbg-molclintox_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.9460307298335469} test={'rocauc': 0.8712221527126125} adaptive={'rocauc': 0.8801906301046121} steps=2.2027027027027026 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.79462 val_adapt_rocauc=0.82656 adapt_steps=2.22 halt=0.34 train_steps=2.52 +ep20 val_rocauc=0.84462 val_adapt_rocauc=0.87055 adapt_steps=2.30 halt=0.38 train_steps=2.43 +ep30 val_rocauc=0.75120 val_adapt_rocauc=0.82551 adapt_steps=2.07 halt=0.40 train_steps=2.12 +ep40 val_rocauc=0.93718 val_adapt_rocauc=0.93679 adapt_steps=2.45 halt=0.39 train_steps=2.33 +ep50 val_rocauc=0.94727 val_adapt_rocauc=0.94822 adapt_steps=2.40 halt=0.40 train_steps=2.11 +ep60 val_rocauc=0.95164 val_adapt_rocauc=0.94490 adapt_steps=2.51 halt=0.40 train_steps=2.18 +ep70 val_rocauc=0.87261 val_adapt_rocauc=0.87261 adapt_steps=2.23 halt=0.40 train_steps=2.12 +ep80 val_rocauc=0.89686 val_adapt_rocauc=0.89115 adapt_steps=2.20 halt=0.42 train_steps=2.05 +ep90 val_rocauc=0.88179 val_adapt_rocauc=0.87664 adapt_steps=2.16 halt=0.41 train_steps=2.02 +ep100 val_rocauc=0.89555 val_adapt_rocauc=0.89160 adapt_steps=2.14 halt=0.41 train_steps=2.08 +[ogbg-molclintox_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.9516390886109196} test={'rocauc': 0.88216296527995} adaptive={'rocauc': 0.8780280123727106} steps=2.4324324324324325 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.70967 val_adapt_rocauc=0.85199 adapt_steps=2.37 halt=0.37 train_steps=2.39 +ep20 val_rocauc=0.89092 val_adapt_rocauc=0.92549 adapt_steps=2.22 halt=0.44 train_steps=1.89 +ep30 val_rocauc=0.81332 val_adapt_rocauc=0.83200 adapt_steps=2.01 halt=0.45 train_steps=1.79 +ep40 val_rocauc=0.80582 val_adapt_rocauc=0.83143 adapt_steps=2.14 halt=0.40 train_steps=2.12 +ep50 val_rocauc=0.92910 val_adapt_rocauc=0.93248 adapt_steps=2.32 halt=0.41 train_steps=2.22 +ep60 val_rocauc=0.92482 val_adapt_rocauc=0.93468 adapt_steps=2.32 halt=0.41 train_steps=2.17 +ep70 val_rocauc=0.92105 val_adapt_rocauc=0.93623 adapt_steps=2.38 halt=0.41 train_steps=2.15 +ep80 val_rocauc=0.92617 val_adapt_rocauc=0.93959 adapt_steps=2.31 halt=0.41 train_steps=2.12 +ep90 val_rocauc=0.94562 val_adapt_rocauc=0.95085 adapt_steps=2.28 halt=0.41 train_steps=2.20 +ep100 val_rocauc=0.95068 val_adapt_rocauc=0.95672 adapt_steps=2.28 halt=0.40 train_steps=2.14 +[ogbg-molclintox_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.9506763189861781} test={'rocauc': 0.8617905675459633} adaptive={'rocauc': 0.834407256803253} steps=2.3378378378378377 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.69917 val_adapt_rocauc=0.72403 adapt_steps=2.24 halt=0.39 train_steps=2.26 +ep20 val_rocauc=0.81950 val_adapt_rocauc=0.82965 adapt_steps=2.00 halt=0.34 train_steps=2.75 +ep30 val_rocauc=0.80323 val_adapt_rocauc=0.78038 adapt_steps=2.73 halt=0.34 train_steps=2.70 +ep40 val_rocauc=0.89633 val_adapt_rocauc=0.85819 adapt_steps=2.17 halt=0.37 train_steps=2.38 +ep50 val_rocauc=0.93302 val_adapt_rocauc=0.93985 adapt_steps=2.71 halt=0.38 train_steps=2.37 +ep60 val_rocauc=0.94116 val_adapt_rocauc=0.94729 adapt_steps=2.39 halt=0.41 train_steps=2.13 +ep70 val_rocauc=0.95746 val_adapt_rocauc=0.93137 adapt_steps=2.28 halt=0.41 train_steps=2.12 +ep80 val_rocauc=0.94965 val_adapt_rocauc=0.93652 adapt_steps=2.24 halt=0.41 train_steps=2.13 +ep90 val_rocauc=0.95186 val_adapt_rocauc=0.93864 adapt_steps=2.24 halt=0.41 train_steps=2.05 +ep100 val_rocauc=0.95550 val_adapt_rocauc=0.93900 adapt_steps=2.28 halt=0.41 train_steps=2.03 +[ogbg-molclintox_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.9574583866837387} test={'rocauc': 0.881274111145866} adaptive={'rocauc': 0.8484968546901609} steps=2.4121621621621623 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.66344 val_adapt_rocauc=0.75035 adapt_steps=2.91 halt=0.33 train_steps=2.69 +ep20 val_rocauc=0.67594 val_adapt_rocauc=0.72203 adapt_steps=2.06 halt=0.39 train_steps=2.32 +ep30 val_rocauc=0.85214 val_adapt_rocauc=0.88626 adapt_steps=2.31 halt=0.40 train_steps=2.06 +ep40 val_rocauc=0.76707 val_adapt_rocauc=0.81695 adapt_steps=2.36 halt=0.38 train_steps=2.22 +ep50 val_rocauc=0.76833 val_adapt_rocauc=0.77783 adapt_steps=2.26 halt=0.40 train_steps=2.13 +ep60 val_rocauc=0.79067 val_adapt_rocauc=0.78862 adapt_steps=2.30 halt=0.43 train_steps=2.04 +ep70 val_rocauc=0.79816 val_adapt_rocauc=0.79690 adapt_steps=2.20 halt=0.41 train_steps=1.99 +ep80 val_rocauc=0.78835 val_adapt_rocauc=0.78999 adapt_steps=2.22 halt=0.41 train_steps=2.03 +ep90 val_rocauc=0.78740 val_adapt_rocauc=0.78532 adapt_steps=2.21 halt=0.43 train_steps=1.98 +ep100 val_rocauc=0.78905 val_adapt_rocauc=0.78792 adapt_steps=2.24 halt=0.42 train_steps=1.98 +[ogbg-molclintox_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.8521414031977412} test={'rocauc': 0.7332707746846001} adaptive={'rocauc': 0.7908464532721649} steps=3.2567567567567566 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rocauc=0.68589 val_adapt_rocauc=0.92664 adapt_steps=2.16 halt=0.41 train_steps=1.91 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep20 val_rocauc=0.85293 val_adapt_rocauc=0.85189 adapt_steps=2.44 halt=0.35 train_steps=2.56 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep30 val_rocauc=0.77476 val_adapt_rocauc=0.82179 adapt_steps=2.44 halt=0.28 train_steps=3.08 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep40 val_rocauc=0.87414 val_adapt_rocauc=0.89831 adapt_steps=2.53 halt=0.30 train_steps=2.83 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep50 val_rocauc=0.86257 val_adapt_rocauc=0.88010 adapt_steps=2.60 halt=0.32 train_steps=2.83 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep60 val_rocauc=0.71890 val_adapt_rocauc=0.77423 adapt_steps=3.07 halt=0.36 train_steps=2.45 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep70 val_rocauc=0.80193 val_adapt_rocauc=0.81742 adapt_steps=2.28 halt=0.37 train_steps=2.40 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep80 val_rocauc=0.82369 val_adapt_rocauc=0.84324 adapt_steps=2.29 halt=0.38 train_steps=2.34 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep90 val_rocauc=0.86654 val_adapt_rocauc=0.87053 adapt_steps=2.28 halt=0.41 train_steps=2.17 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep100 val_rocauc=0.86785 val_adapt_rocauc=0.86774 adapt_steps=2.23 halt=0.40 train_steps=2.14 +[ogbg-molclintox_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.874143110410716} test={'rocauc': 0.8539203419872797} adaptive={'rocauc': 0.8613908872901679} steps=3.675675675675676 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.84544 val_adapt_rocauc=0.85771 adapt_steps=2.57 halt=0.29 train_steps=2.87 +ep20 val_rocauc=0.95110 val_adapt_rocauc=0.91548 adapt_steps=3.41 halt=0.33 train_steps=2.66 +ep30 val_rocauc=0.83528 val_adapt_rocauc=0.89928 adapt_steps=2.29 halt=0.31 train_steps=2.91 +ep40 val_rocauc=0.76843 val_adapt_rocauc=0.80352 adapt_steps=2.51 halt=0.34 train_steps=2.56 +ep50 val_rocauc=0.80865 val_adapt_rocauc=0.85913 adapt_steps=2.77 halt=0.36 train_steps=2.47 +ep60 val_rocauc=0.88044 val_adapt_rocauc=0.89659 adapt_steps=2.14 halt=0.42 train_steps=2.05 +ep70 val_rocauc=0.92773 val_adapt_rocauc=0.93695 adapt_steps=2.28 halt=0.40 train_steps=2.12 +ep80 val_rocauc=0.96265 val_adapt_rocauc=0.95789 adapt_steps=2.37 halt=0.39 train_steps=2.27 +ep90 val_rocauc=0.95997 val_adapt_rocauc=0.95404 adapt_steps=2.19 halt=0.40 train_steps=2.22 +ep100 val_rocauc=0.95236 val_adapt_rocauc=0.95381 adapt_steps=2.16 halt=0.40 train_steps=2.06 +[ogbg-molclintox_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.962652253849437} test={'rocauc': 0.7993926597852152} adaptive={'rocauc': 0.8024780175859313} steps=2.52027027027027 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.85317 val_adapt_rocauc=0.88605 adapt_steps=2.39 halt=0.28 train_steps=3.00 +ep20 val_rocauc=0.81828 val_adapt_rocauc=0.82320 adapt_steps=2.45 halt=0.27 train_steps=3.23 +ep30 val_rocauc=0.84258 val_adapt_rocauc=0.95090 adapt_steps=2.46 halt=0.34 train_steps=2.48 +ep40 val_rocauc=0.75162 val_adapt_rocauc=0.79277 adapt_steps=2.35 halt=0.29 train_steps=3.14 +ep50 val_rocauc=0.78711 val_adapt_rocauc=0.87848 adapt_steps=2.74 halt=0.28 train_steps=3.02 +ep60 val_rocauc=0.81069 val_adapt_rocauc=0.91211 adapt_steps=2.38 halt=0.33 train_steps=2.62 +ep70 val_rocauc=0.81552 val_adapt_rocauc=0.90454 adapt_steps=2.36 halt=0.33 train_steps=2.65 +ep80 val_rocauc=0.82161 val_adapt_rocauc=0.91004 adapt_steps=2.32 halt=0.35 train_steps=2.57 +ep90 val_rocauc=0.81750 val_adapt_rocauc=0.88712 adapt_steps=2.42 halt=0.34 train_steps=2.62 +ep100 val_rocauc=0.82991 val_adapt_rocauc=0.90417 adapt_steps=2.39 halt=0.32 train_steps=2.82 +[ogbg-molclintox_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=10 val={'rocauc': 0.8531673725335697} test={'rocauc': 0.8229512042539882} adaptive={'rocauc': 0.8409142251416258} steps=3.5675675675675675 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.74252 val_adapt_rocauc=0.79094 adapt_steps=2.14 halt=0.36 train_steps=2.48 +ep20 val_rocauc=0.81568 val_adapt_rocauc=0.85910 adapt_steps=2.39 halt=0.35 train_steps=2.46 +ep30 val_rocauc=0.84840 val_adapt_rocauc=0.92310 adapt_steps=2.11 halt=0.41 train_steps=2.09 +ep40 val_rocauc=0.95769 val_adapt_rocauc=0.94539 adapt_steps=2.16 halt=0.43 train_steps=1.87 +ep50 val_rocauc=0.92392 val_adapt_rocauc=0.94729 adapt_steps=2.65 halt=0.37 train_steps=2.31 +ep60 val_rocauc=0.92694 val_adapt_rocauc=0.91922 adapt_steps=2.72 halt=0.37 train_steps=2.49 +ep70 val_rocauc=0.90361 val_adapt_rocauc=0.89307 adapt_steps=2.32 halt=0.43 train_steps=1.98 +ep80 val_rocauc=0.91214 val_adapt_rocauc=0.90406 adapt_steps=2.36 halt=0.41 train_steps=2.09 +ep90 val_rocauc=0.90185 val_adapt_rocauc=0.89822 adapt_steps=2.32 halt=0.42 train_steps=2.04 +ep100 val_rocauc=0.89869 val_adapt_rocauc=0.89844 adapt_steps=2.29 halt=0.42 train_steps=1.99 +[ogbg-molclintox_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.957693949243245} test={'rocauc': 0.8777291210509853} adaptive={'rocauc': 0.8950795885031105} steps=2.2567567567567566 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.82868 val_adapt_rocauc=0.84050 adapt_steps=2.43 halt=0.39 train_steps=2.17 +ep20 val_rocauc=0.68167 val_adapt_rocauc=0.82555 adapt_steps=2.24 halt=0.39 train_steps=2.29 +ep30 val_rocauc=0.90011 val_adapt_rocauc=0.87969 adapt_steps=2.48 halt=0.35 train_steps=2.43 +ep40 val_rocauc=0.87408 val_adapt_rocauc=0.90534 adapt_steps=2.23 halt=0.38 train_steps=2.23 +ep50 val_rocauc=0.86302 val_adapt_rocauc=0.87087 adapt_steps=2.50 halt=0.42 train_steps=2.01 +ep60 val_rocauc=0.88360 val_adapt_rocauc=0.90039 adapt_steps=2.14 halt=0.41 train_steps=2.16 +ep70 val_rocauc=0.86734 val_adapt_rocauc=0.88072 adapt_steps=2.36 halt=0.42 train_steps=1.95 +ep80 val_rocauc=0.87492 val_adapt_rocauc=0.87176 adapt_steps=2.22 halt=0.42 train_steps=1.94 +ep90 val_rocauc=0.87822 val_adapt_rocauc=0.87936 adapt_steps=2.20 halt=0.42 train_steps=2.04 +ep100 val_rocauc=0.87463 val_adapt_rocauc=0.87752 adapt_steps=2.26 halt=0.42 train_steps=1.91 +[ogbg-molclintox_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.9001050592599888} test={'rocauc': 0.8008871163938415} adaptive={'rocauc': 0.8083576616967296} steps=2.5945945945945947 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.75045 val_adapt_rocauc=0.76256 adapt_steps=2.63 halt=0.35 train_steps=2.42 +ep20 val_rocauc=0.84107 val_adapt_rocauc=0.82692 adapt_steps=2.05 halt=0.39 train_steps=2.28 +ep30 val_rocauc=0.82797 val_adapt_rocauc=0.80820 adapt_steps=2.16 halt=0.40 train_steps=2.17 +ep40 val_rocauc=0.91055 val_adapt_rocauc=0.89387 adapt_steps=2.19 halt=0.43 train_steps=1.88 +ep50 val_rocauc=0.89428 val_adapt_rocauc=0.87914 adapt_steps=2.42 halt=0.38 train_steps=2.22 +ep60 val_rocauc=0.89904 val_adapt_rocauc=0.88187 adapt_steps=2.34 halt=0.43 train_steps=1.92 +ep70 val_rocauc=0.91524 val_adapt_rocauc=0.90461 adapt_steps=2.33 halt=0.43 train_steps=1.88 +ep80 val_rocauc=0.91526 val_adapt_rocauc=0.89527 adapt_steps=2.31 halt=0.43 train_steps=1.99 +ep90 val_rocauc=0.91339 val_adapt_rocauc=0.90184 adapt_steps=2.32 halt=0.44 train_steps=1.94 +ep100 val_rocauc=0.91057 val_adapt_rocauc=0.90055 adapt_steps=2.30 halt=0.42 train_steps=2.02 +[ogbg-molclintox_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.9152647821661906} test={'rocauc': 0.8882589580509506} adaptive={'rocauc': 0.8904589371980676} steps=2.25 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.78798 val_adapt_rocauc=0.83382 adapt_steps=2.20 halt=0.39 train_steps=2.27 +ep20 val_rocauc=0.71633 val_adapt_rocauc=0.74377 adapt_steps=2.78 halt=0.42 train_steps=1.99 +ep30 val_rocauc=0.89270 val_adapt_rocauc=0.90791 adapt_steps=2.54 halt=0.41 train_steps=1.95 +ep40 val_rocauc=0.91721 val_adapt_rocauc=0.93704 adapt_steps=2.25 halt=0.42 train_steps=1.89 +ep50 val_rocauc=0.88995 val_adapt_rocauc=0.88075 adapt_steps=2.22 halt=0.40 train_steps=2.14 +ep60 val_rocauc=0.87245 val_adapt_rocauc=0.86085 adapt_steps=2.17 halt=0.44 train_steps=1.96 +ep70 val_rocauc=0.89380 val_adapt_rocauc=0.88259 adapt_steps=2.09 halt=0.42 train_steps=1.94 +ep80 val_rocauc=0.89714 val_adapt_rocauc=0.89109 adapt_steps=2.17 halt=0.44 train_steps=1.92 +ep90 val_rocauc=0.90792 val_adapt_rocauc=0.89461 adapt_steps=2.18 halt=0.43 train_steps=1.91 +ep100 val_rocauc=0.91072 val_adapt_rocauc=0.90068 adapt_steps=2.14 halt=0.41 train_steps=1.96 +[ogbg-molclintox_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.9172116615778587} test={'rocauc': 0.906584297779168} adaptive={'rocauc': 0.9058335939943698} steps=2.97972972972973 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.81318 val_adapt_rocauc=0.80930 adapt_steps=2.37 halt=0.35 train_steps=2.35 +ep20 val_rocauc=0.69804 val_adapt_rocauc=0.82638 adapt_steps=2.15 halt=0.31 train_steps=2.87 +ep30 val_rocauc=0.94232 val_adapt_rocauc=0.92281 adapt_steps=2.83 halt=0.39 train_steps=2.09 +ep40 val_rocauc=0.86469 val_adapt_rocauc=0.88327 adapt_steps=2.67 halt=0.36 train_steps=2.54 +ep50 val_rocauc=0.89535 val_adapt_rocauc=0.90887 adapt_steps=2.19 halt=0.37 train_steps=2.46 +ep60 val_rocauc=0.92823 val_adapt_rocauc=0.93065 adapt_steps=2.24 halt=0.41 train_steps=2.09 +ep70 val_rocauc=0.93024 val_adapt_rocauc=0.93498 adapt_steps=2.20 halt=0.43 train_steps=1.91 +ep80 val_rocauc=0.92742 val_adapt_rocauc=0.93392 adapt_steps=2.17 halt=0.42 train_steps=2.07 +ep90 val_rocauc=0.93094 val_adapt_rocauc=0.94491 adapt_steps=2.17 halt=0.45 train_steps=1.81 +ep100 val_rocauc=0.93728 val_adapt_rocauc=0.94060 adapt_steps=2.16 halt=0.41 train_steps=2.07 +[ogbg-molclintox_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.942323287041597} test={'rocauc': 0.8458372432488792} adaptive={'rocauc': 0.8651226844611268} steps=2.722972972972973 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.93105 val_adapt_rocauc=0.89417 adapt_steps=2.82 halt=0.32 train_steps=2.64 +ep20 val_rocauc=0.81868 val_adapt_rocauc=0.81868 adapt_steps=2.54 halt=0.35 train_steps=2.46 +ep30 val_rocauc=0.80286 val_adapt_rocauc=0.78639 adapt_steps=2.11 halt=0.37 train_steps=2.59 +ep40 val_rocauc=0.80906 val_adapt_rocauc=0.83030 adapt_steps=2.18 halt=0.36 train_steps=2.49 +ep50 val_rocauc=0.85998 val_adapt_rocauc=0.83241 adapt_steps=2.39 halt=0.40 train_steps=2.20 +ep60 val_rocauc=0.90338 val_adapt_rocauc=0.86791 adapt_steps=2.18 halt=0.42 train_steps=2.08 +ep70 val_rocauc=0.94162 val_adapt_rocauc=0.91534 adapt_steps=2.16 halt=0.42 train_steps=2.04 +ep80 val_rocauc=0.89972 val_adapt_rocauc=0.89221 adapt_steps=2.14 halt=0.43 train_steps=2.03 +ep90 val_rocauc=0.91851 val_adapt_rocauc=0.90667 adapt_steps=2.11 halt=0.42 train_steps=2.01 +ep100 val_rocauc=0.92030 val_adapt_rocauc=0.90645 adapt_steps=2.14 halt=0.41 train_steps=2.03 +[ogbg-molclintox_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.9416239863422963} test={'rocauc': 0.852654398220554} adaptive={'rocauc': 0.8698067632850242} steps=2.5675675675675675 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molclintox view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molclintox --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.71982 val_adapt_rocauc=0.77487 adapt_steps=2.08 halt=0.44 train_steps=1.89 +ep20 val_rocauc=0.74144 val_adapt_rocauc=0.75935 adapt_steps=2.03 halt=0.46 train_steps=1.69 +ep30 val_rocauc=0.87530 val_adapt_rocauc=0.86698 adapt_steps=2.09 halt=0.45 train_steps=1.73 +ep40 val_rocauc=0.85439 val_adapt_rocauc=0.85187 adapt_steps=2.16 halt=0.42 train_steps=1.92 +ep50 val_rocauc=0.85586 val_adapt_rocauc=0.88542 adapt_steps=2.04 halt=0.44 train_steps=1.83 +ep60 val_rocauc=0.91564 val_adapt_rocauc=0.92289 adapt_steps=2.16 halt=0.45 train_steps=1.84 +ep70 val_rocauc=0.85864 val_adapt_rocauc=0.90628 adapt_steps=2.09 halt=0.45 train_steps=1.71 +ep80 val_rocauc=0.85984 val_adapt_rocauc=0.91203 adapt_steps=2.01 halt=0.44 train_steps=1.90 +ep90 val_rocauc=0.86275 val_adapt_rocauc=0.89833 adapt_steps=2.03 halt=0.44 train_steps=1.91 +ep100 val_rocauc=0.84485 val_adapt_rocauc=0.89378 adapt_steps=2.02 halt=0.43 train_steps=1.93 +[ogbg-molclintox_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.9156406973308382} test={'rocauc': 0.7779932575678588} adaptive={'rocauc': 0.886122406422688} steps=2.1621621621621623 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molclintox_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-molesol_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-molesol_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..cd5a0e1 --- /dev/null +++ b/logs/ogbg-molesol_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,242 @@ +[run] ogbg-molesol view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.63809 val_adapt_rmse=2.39395 adapt_steps=6.48 halt=0.19 train_steps=3.84 +ep20 val_rmse=4.26988 val_adapt_rmse=3.11447 adapt_steps=3.99 halt=0.16 train_steps=4.33 +ep30 val_rmse=4.14634 val_adapt_rmse=3.52731 adapt_steps=4.76 halt=0.16 train_steps=4.14 +ep40 val_rmse=2.34153 val_adapt_rmse=1.55824 adapt_steps=2.54 halt=0.29 train_steps=2.64 +ep50 val_rmse=2.10126 val_adapt_rmse=1.29124 adapt_steps=2.93 halt=0.34 train_steps=2.23 +ep60 val_rmse=1.97711 val_adapt_rmse=1.38502 adapt_steps=3.55 halt=0.29 train_steps=2.55 +ep70 val_rmse=1.85198 val_adapt_rmse=1.17093 adapt_steps=2.89 halt=0.35 train_steps=2.24 +ep80 val_rmse=1.40467 val_adapt_rmse=0.94661 adapt_steps=2.88 halt=0.37 train_steps=2.11 +ep90 val_rmse=1.51603 val_adapt_rmse=0.96581 adapt_steps=2.71 halt=0.39 train_steps=1.94 +ep100 val_rmse=1.55791 val_adapt_rmse=0.98643 adapt_steps=2.61 halt=0.40 train_steps=1.96 +[ogbg-molesol_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rmse': np.float32(1.4046698)} test={'rmse': np.float32(2.0651195)} adaptive={'rmse': np.float32(0.96633816)} steps=2.982300884955752 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=3.38193 val_adapt_rmse=3.24861 adapt_steps=5.82 halt=0.18 train_steps=4.23 +ep20 val_rmse=2.14610 val_adapt_rmse=1.81691 adapt_steps=4.67 halt=0.18 train_steps=3.98 +ep30 val_rmse=2.42302 val_adapt_rmse=2.12907 adapt_steps=4.80 halt=0.19 train_steps=3.43 +ep40 val_rmse=1.72178 val_adapt_rmse=1.35344 adapt_steps=4.30 halt=0.24 train_steps=3.14 +ep50 val_rmse=2.54499 val_adapt_rmse=1.50567 adapt_steps=2.35 halt=0.30 train_steps=2.66 +ep60 val_rmse=1.52869 val_adapt_rmse=1.10370 adapt_steps=3.33 halt=0.34 train_steps=2.66 +ep70 val_rmse=1.72160 val_adapt_rmse=1.01718 adapt_steps=3.65 halt=0.35 train_steps=2.32 +ep80 val_rmse=1.64223 val_adapt_rmse=1.07042 adapt_steps=2.33 halt=0.38 train_steps=2.24 +ep90 val_rmse=1.31103 val_adapt_rmse=1.01651 adapt_steps=2.51 halt=0.41 train_steps=2.03 +ep100 val_rmse=1.36548 val_adapt_rmse=1.01212 adapt_steps=2.47 halt=0.40 train_steps=2.11 +[ogbg-molesol_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(1.3110343)} test={'rmse': np.float32(2.0394285)} adaptive={'rmse': np.float32(1.0992771)} steps=2.8849557522123894 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.02916 val_adapt_rmse=1.75337 adapt_steps=4.50 halt=0.23 train_steps=3.50 +ep20 val_rmse=1.54387 val_adapt_rmse=1.38205 adapt_steps=4.77 halt=0.22 train_steps=3.63 +ep30 val_rmse=1.69653 val_adapt_rmse=1.49022 adapt_steps=4.99 halt=0.22 train_steps=3.20 +ep40 val_rmse=2.92037 val_adapt_rmse=1.90808 adapt_steps=3.73 halt=0.25 train_steps=3.16 +ep50 val_rmse=1.03997 val_adapt_rmse=0.90930 adapt_steps=3.62 halt=0.29 train_steps=2.79 +ep60 val_rmse=1.07837 val_adapt_rmse=1.00303 adapt_steps=3.17 halt=0.39 train_steps=2.10 +ep70 val_rmse=1.16818 val_adapt_rmse=0.92152 adapt_steps=3.02 halt=0.38 train_steps=2.08 +ep80 val_rmse=1.08067 val_adapt_rmse=0.92960 adapt_steps=3.04 halt=0.38 train_steps=2.18 +ep90 val_rmse=1.02939 val_adapt_rmse=0.87992 adapt_steps=2.79 halt=0.40 train_steps=2.00 +ep100 val_rmse=1.04713 val_adapt_rmse=0.88052 adapt_steps=2.70 halt=0.40 train_steps=1.98 +[ogbg-molesol_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(1.0293915)} test={'rmse': np.float32(1.2572919)} adaptive={'rmse': np.float32(0.92217094)} steps=2.7168141592920354 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.09992 val_adapt_rmse=1.91741 adapt_steps=5.06 halt=0.15 train_steps=4.24 +ep20 val_rmse=1.34611 val_adapt_rmse=1.17463 adapt_steps=3.27 halt=0.20 train_steps=3.81 +ep30 val_rmse=2.05686 val_adapt_rmse=1.52317 adapt_steps=3.48 halt=0.24 train_steps=3.01 +ep40 val_rmse=1.58216 val_adapt_rmse=1.15681 adapt_steps=2.60 halt=0.34 train_steps=2.19 +ep50 val_rmse=1.32595 val_adapt_rmse=1.11669 adapt_steps=3.81 halt=0.24 train_steps=2.77 +ep60 val_rmse=1.68484 val_adapt_rmse=1.33655 adapt_steps=2.79 halt=0.38 train_steps=2.03 +ep70 val_rmse=1.46531 val_adapt_rmse=1.02634 adapt_steps=2.50 halt=0.36 train_steps=2.18 +ep80 val_rmse=1.21621 val_adapt_rmse=0.92526 adapt_steps=2.48 halt=0.40 train_steps=1.95 +ep90 val_rmse=1.15871 val_adapt_rmse=0.92033 adapt_steps=2.41 halt=0.43 train_steps=1.76 +ep100 val_rmse=1.19358 val_adapt_rmse=0.92401 adapt_steps=2.24 halt=0.44 train_steps=1.82 +[ogbg-molesol_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(1.1587086)} test={'rmse': np.float32(1.3228503)} adaptive={'rmse': np.float32(0.9323515)} steps=2.398230088495575 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.71115 val_adapt_rmse=1.59292 adapt_steps=5.16 halt=0.19 train_steps=3.79 +ep20 val_rmse=2.04041 val_adapt_rmse=1.48254 adapt_steps=3.27 halt=0.19 train_steps=3.61 +ep30 val_rmse=2.19314 val_adapt_rmse=1.41846 adapt_steps=2.98 halt=0.26 train_steps=3.01 +ep40 val_rmse=1.26104 val_adapt_rmse=1.11810 adapt_steps=2.53 halt=0.31 train_steps=2.64 +ep50 val_rmse=1.35004 val_adapt_rmse=1.06584 adapt_steps=3.13 halt=0.32 train_steps=2.50 +ep60 val_rmse=1.14151 val_adapt_rmse=0.91810 adapt_steps=2.64 halt=0.39 train_steps=2.00 +ep70 val_rmse=1.08552 val_adapt_rmse=0.98888 adapt_steps=3.42 halt=0.35 train_steps=2.30 +ep80 val_rmse=1.01822 val_adapt_rmse=0.95246 adapt_steps=2.61 halt=0.44 train_steps=1.82 +ep90 val_rmse=0.98423 val_adapt_rmse=0.94151 adapt_steps=2.59 halt=0.44 train_steps=1.75 +ep100 val_rmse=1.02002 val_adapt_rmse=0.97264 adapt_steps=2.60 halt=0.46 train_steps=1.75 +[ogbg-molesol_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(0.9842344)} test={'rmse': np.float32(0.95342916)} adaptive={'rmse': np.float32(0.88059396)} steps=2.4867256637168142 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=3.24691 val_adapt_rmse=3.06485 adapt_steps=5.43 halt=0.16 train_steps=4.14 +ep20 val_rmse=2.19544 val_adapt_rmse=1.92386 adapt_steps=4.11 halt=0.22 train_steps=3.14 +ep30 val_rmse=1.85038 val_adapt_rmse=1.84516 adapt_steps=5.91 halt=0.20 train_steps=3.80 +ep40 val_rmse=1.80320 val_adapt_rmse=1.53707 adapt_steps=4.28 halt=0.24 train_steps=3.32 +ep50 val_rmse=1.61943 val_adapt_rmse=1.16471 adapt_steps=4.05 halt=0.34 train_steps=2.62 +ep60 val_rmse=1.38128 val_adapt_rmse=1.12648 adapt_steps=4.63 halt=0.30 train_steps=2.80 +ep70 val_rmse=1.15362 val_adapt_rmse=0.98844 adapt_steps=2.86 halt=0.38 train_steps=2.03 +ep80 val_rmse=1.14805 val_adapt_rmse=1.00274 adapt_steps=3.15 halt=0.43 train_steps=1.82 +ep90 val_rmse=1.14935 val_adapt_rmse=1.02412 adapt_steps=3.17 halt=0.42 train_steps=1.87 +ep100 val_rmse=1.15233 val_adapt_rmse=1.03384 adapt_steps=3.10 halt=0.43 train_steps=1.84 +[ogbg-molesol_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rmse': np.float32(1.148049)} test={'rmse': np.float32(1.2080547)} adaptive={'rmse': np.float32(1.0046481)} steps=2.743362831858407 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.80556 val_adapt_rmse=1.57940 adapt_steps=5.16 halt=0.21 train_steps=3.72 +ep20 val_rmse=2.04585 val_adapt_rmse=1.53384 adapt_steps=4.59 halt=0.19 train_steps=3.46 +ep30 val_rmse=2.20692 val_adapt_rmse=1.76335 adapt_steps=2.60 halt=0.24 train_steps=3.17 +ep40 val_rmse=1.06643 val_adapt_rmse=1.01122 adapt_steps=2.19 halt=0.37 train_steps=2.20 +ep50 val_rmse=1.26673 val_adapt_rmse=1.02385 adapt_steps=2.27 halt=0.35 train_steps=2.07 +ep60 val_rmse=1.27758 val_adapt_rmse=1.04181 adapt_steps=2.62 halt=0.34 train_steps=2.26 +ep70 val_rmse=1.27827 val_adapt_rmse=1.01072 adapt_steps=2.54 halt=0.36 train_steps=2.05 +ep80 val_rmse=1.20543 val_adapt_rmse=1.03738 adapt_steps=2.62 halt=0.41 train_steps=1.93 +ep90 val_rmse=1.26838 val_adapt_rmse=1.02284 adapt_steps=2.44 halt=0.44 train_steps=1.75 +ep100 val_rmse=1.23701 val_adapt_rmse=1.02901 adapt_steps=2.45 halt=0.44 train_steps=1.76 +[ogbg-molesol_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rmse': np.float32(1.0664288)} test={'rmse': np.float32(0.95339394)} adaptive={'rmse': np.float32(0.8505217)} steps=2.2831858407079646 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rmse=2.43831 val_adapt_rmse=2.32531 adapt_steps=5.19 halt=0.16 train_steps=4.00 +ep20 val_rmse=2.56767 val_adapt_rmse=1.59439 adapt_steps=3.97 halt=0.17 train_steps=3.98 +ep30 val_rmse=1.46321 val_adapt_rmse=1.22048 adapt_steps=3.73 halt=0.24 train_steps=3.12 +ep40 val_rmse=1.91382 val_adapt_rmse=1.86215 adapt_steps=3.05 halt=0.22 train_steps=3.11 +ep50 val_rmse=1.55782 val_adapt_rmse=1.32158 adapt_steps=2.92 halt=0.32 train_steps=2.34 +ep60 val_rmse=1.68320 val_adapt_rmse=1.18630 adapt_steps=2.27 halt=0.35 train_steps=2.29 +ep70 val_rmse=1.38794 val_adapt_rmse=1.15712 adapt_steps=2.46 halt=0.33 train_steps=2.29 +ep80 val_rmse=1.28100 val_adapt_rmse=1.02706 adapt_steps=2.46 halt=0.35 train_steps=2.23 +ep90 val_rmse=1.47195 val_adapt_rmse=1.10808 adapt_steps=2.43 halt=0.35 train_steps=2.19 +ep100 val_rmse=1.45332 val_adapt_rmse=1.10590 adapt_steps=2.44 halt=0.35 train_steps=2.21 +[ogbg-molesol_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rmse': np.float32(1.2809987)} test={'rmse': np.float32(1.4175682)} adaptive={'rmse': np.float32(0.98294556)} steps=2.601769911504425 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.68554 val_adapt_rmse=1.40872 adapt_steps=4.66 halt=0.17 train_steps=4.16 +ep20 val_rmse=1.78903 val_adapt_rmse=1.34417 adapt_steps=3.88 halt=0.27 train_steps=2.88 +ep30 val_rmse=1.43062 val_adapt_rmse=1.26301 adapt_steps=2.82 halt=0.29 train_steps=2.68 +ep40 val_rmse=1.26387 val_adapt_rmse=1.08550 adapt_steps=2.36 halt=0.32 train_steps=2.40 +ep50 val_rmse=1.43121 val_adapt_rmse=1.00136 adapt_steps=2.40 halt=0.32 train_steps=2.47 +ep60 val_rmse=1.16224 val_adapt_rmse=1.00159 adapt_steps=2.69 halt=0.32 train_steps=2.49 +ep70 val_rmse=1.36256 val_adapt_rmse=1.13936 adapt_steps=2.18 halt=0.39 train_steps=2.13 +ep80 val_rmse=1.19902 val_adapt_rmse=0.99500 adapt_steps=2.50 halt=0.39 train_steps=1.97 +ep90 val_rmse=1.19996 val_adapt_rmse=1.00030 adapt_steps=2.23 halt=0.41 train_steps=1.93 +ep100 val_rmse=1.16268 val_adapt_rmse=0.98398 adapt_steps=2.26 halt=0.40 train_steps=2.02 +[ogbg-molesol_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rmse': np.float32(1.1622369)} test={'rmse': np.float32(1.4459299)} adaptive={'rmse': np.float32(1.0918992)} steps=2.6106194690265485 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.15953 val_adapt_rmse=1.69788 adapt_steps=5.27 halt=0.13 train_steps=4.40 +ep20 val_rmse=1.76413 val_adapt_rmse=1.78195 adapt_steps=5.78 halt=0.17 train_steps=4.04 +ep30 val_rmse=1.71072 val_adapt_rmse=1.54898 adapt_steps=4.97 halt=0.15 train_steps=3.94 +ep40 val_rmse=1.73032 val_adapt_rmse=1.23604 adapt_steps=4.69 halt=0.19 train_steps=3.30 +ep50 val_rmse=1.80233 val_adapt_rmse=1.54453 adapt_steps=4.03 halt=0.23 train_steps=3.17 +ep60 val_rmse=2.03690 val_adapt_rmse=1.28646 adapt_steps=3.64 halt=0.22 train_steps=3.11 +ep70 val_rmse=1.81923 val_adapt_rmse=1.44603 adapt_steps=4.35 halt=0.20 train_steps=3.30 +ep80 val_rmse=1.36738 val_adapt_rmse=1.27507 adapt_steps=4.00 halt=0.28 train_steps=2.75 +ep90 val_rmse=1.47914 val_adapt_rmse=1.26687 adapt_steps=3.88 halt=0.27 train_steps=2.67 +ep100 val_rmse=1.56815 val_adapt_rmse=1.29753 adapt_steps=3.90 halt=0.28 train_steps=2.80 +[ogbg-molesol_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rmse': np.float32(1.3673769)} test={'rmse': np.float32(1.364793)} adaptive={'rmse': np.float32(1.12864)} steps=3.6106194690265485 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.01199 val_adapt_rmse=1.99778 adapt_steps=6.58 halt=0.17 train_steps=4.21 +ep20 val_rmse=2.81354 val_adapt_rmse=1.57554 adapt_steps=3.77 halt=0.24 train_steps=3.39 +ep30 val_rmse=2.27715 val_adapt_rmse=1.78467 adapt_steps=2.41 halt=0.31 train_steps=2.96 +ep40 val_rmse=2.06149 val_adapt_rmse=1.59902 adapt_steps=4.17 halt=0.25 train_steps=2.81 +ep50 val_rmse=1.25669 val_adapt_rmse=1.02207 adapt_steps=3.41 halt=0.33 train_steps=2.60 +ep60 val_rmse=1.24545 val_adapt_rmse=1.02109 adapt_steps=3.96 halt=0.38 train_steps=2.21 +ep70 val_rmse=1.11263 val_adapt_rmse=0.97278 adapt_steps=2.63 halt=0.47 train_steps=1.62 +ep80 val_rmse=1.21134 val_adapt_rmse=1.06008 adapt_steps=3.45 halt=0.41 train_steps=1.89 +ep90 val_rmse=1.09389 val_adapt_rmse=0.97993 adapt_steps=3.27 halt=0.41 train_steps=1.90 +ep100 val_rmse=1.14293 val_adapt_rmse=1.00867 adapt_steps=3.06 halt=0.44 train_steps=1.83 +[ogbg-molesol_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(1.0938909)} test={'rmse': np.float32(1.0833443)} adaptive={'rmse': np.float32(0.9181242)} steps=3.230088495575221 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=3.47158 val_adapt_rmse=2.85814 adapt_steps=6.48 halt=0.15 train_steps=4.28 +ep20 val_rmse=2.59229 val_adapt_rmse=2.29301 adapt_steps=4.50 halt=0.19 train_steps=3.54 +ep30 val_rmse=1.38104 val_adapt_rmse=1.23529 adapt_steps=3.79 halt=0.17 train_steps=4.02 +ep40 val_rmse=1.62549 val_adapt_rmse=1.31054 adapt_steps=3.39 halt=0.24 train_steps=3.04 +ep50 val_rmse=1.17882 val_adapt_rmse=1.00373 adapt_steps=3.59 halt=0.26 train_steps=2.89 +ep60 val_rmse=1.11478 val_adapt_rmse=1.01010 adapt_steps=2.65 halt=0.36 train_steps=2.17 +ep70 val_rmse=1.21310 val_adapt_rmse=1.04888 adapt_steps=2.49 halt=0.35 train_steps=2.14 +ep80 val_rmse=1.13492 val_adapt_rmse=1.00575 adapt_steps=2.39 halt=0.40 train_steps=1.92 +ep90 val_rmse=1.10848 val_adapt_rmse=0.98178 adapt_steps=2.41 halt=0.39 train_steps=1.99 +ep100 val_rmse=1.08712 val_adapt_rmse=0.96400 adapt_steps=2.39 halt=0.44 train_steps=1.82 +[ogbg-molesol_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rmse': np.float32(1.087122)} test={'rmse': np.float32(1.2508167)} adaptive={'rmse': np.float32(1.0189501)} steps=2.353982300884956 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.13452 val_adapt_rmse=1.54890 adapt_steps=4.80 halt=0.18 train_steps=4.20 +ep20 val_rmse=1.80887 val_adapt_rmse=1.55135 adapt_steps=4.19 halt=0.20 train_steps=3.79 +ep30 val_rmse=1.56727 val_adapt_rmse=1.38135 adapt_steps=3.77 halt=0.28 train_steps=3.18 +ep40 val_rmse=1.44096 val_adapt_rmse=1.19056 adapt_steps=5.21 halt=0.21 train_steps=3.29 +ep50 val_rmse=1.27696 val_adapt_rmse=1.20518 adapt_steps=2.98 halt=0.28 train_steps=2.83 +ep60 val_rmse=1.03453 val_adapt_rmse=1.03118 adapt_steps=3.41 halt=0.29 train_steps=2.72 +ep70 val_rmse=1.36152 val_adapt_rmse=1.19328 adapt_steps=2.70 halt=0.37 train_steps=2.20 +ep80 val_rmse=1.10044 val_adapt_rmse=1.00095 adapt_steps=2.53 halt=0.41 train_steps=1.89 +ep90 val_rmse=1.09772 val_adapt_rmse=1.00221 adapt_steps=2.59 halt=0.43 train_steps=1.80 +ep100 val_rmse=1.08154 val_adapt_rmse=1.01459 adapt_steps=2.57 halt=0.42 train_steps=1.90 +[ogbg-molesol_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rmse': np.float32(1.0345254)} test={'rmse': np.float32(1.0465622)} adaptive={'rmse': np.float32(0.97806746)} steps=3.2831858407079646 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.61304 val_adapt_rmse=1.41832 adapt_steps=3.95 halt=0.23 train_steps=3.80 +ep20 val_rmse=2.75789 val_adapt_rmse=2.14843 adapt_steps=3.42 halt=0.25 train_steps=3.13 +ep30 val_rmse=1.83964 val_adapt_rmse=1.52535 adapt_steps=3.04 halt=0.22 train_steps=3.33 +ep40 val_rmse=1.78527 val_adapt_rmse=1.47363 adapt_steps=2.77 halt=0.34 train_steps=2.29 +ep50 val_rmse=1.79619 val_adapt_rmse=1.39923 adapt_steps=2.56 halt=0.46 train_steps=1.75 +ep60 val_rmse=1.55892 val_adapt_rmse=1.29826 adapt_steps=2.79 halt=0.40 train_steps=2.14 +ep70 val_rmse=1.21742 val_adapt_rmse=1.01859 adapt_steps=2.35 halt=0.43 train_steps=1.82 +ep80 val_rmse=1.06434 val_adapt_rmse=0.91884 adapt_steps=2.42 halt=0.44 train_steps=1.73 +ep90 val_rmse=1.08489 val_adapt_rmse=0.95548 adapt_steps=2.42 halt=0.46 train_steps=1.66 +ep100 val_rmse=1.08888 val_adapt_rmse=0.95485 adapt_steps=2.50 halt=0.46 train_steps=1.74 +[ogbg-molesol_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rmse': np.float32(1.0643402)} test={'rmse': np.float32(1.034204)} adaptive={'rmse': np.float32(0.8497807)} steps=2.601769911504425 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=4.56663 val_adapt_rmse=3.60617 adapt_steps=2.74 halt=0.19 train_steps=3.89 +ep20 val_rmse=1.79390 val_adapt_rmse=1.59002 adapt_steps=3.36 halt=0.18 train_steps=3.97 +ep30 val_rmse=2.24326 val_adapt_rmse=1.60470 adapt_steps=3.49 halt=0.18 train_steps=3.64 +ep40 val_rmse=1.96715 val_adapt_rmse=1.62786 adapt_steps=2.96 halt=0.23 train_steps=3.09 +ep50 val_rmse=1.30996 val_adapt_rmse=1.07779 adapt_steps=2.49 halt=0.31 train_steps=2.61 +ep60 val_rmse=1.59369 val_adapt_rmse=1.15346 adapt_steps=2.60 halt=0.31 train_steps=2.58 +ep70 val_rmse=1.33600 val_adapt_rmse=1.06852 adapt_steps=2.23 halt=0.39 train_steps=2.12 +ep80 val_rmse=1.51381 val_adapt_rmse=1.08174 adapt_steps=2.51 halt=0.36 train_steps=2.25 +ep90 val_rmse=1.57786 val_adapt_rmse=1.05584 adapt_steps=2.32 halt=0.37 train_steps=2.15 +ep100 val_rmse=1.51730 val_adapt_rmse=1.01467 adapt_steps=2.27 halt=0.39 train_steps=2.00 +[ogbg-molesol_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rmse': np.float32(1.3099641)} test={'rmse': np.float32(1.5309947)} adaptive={'rmse': np.float32(1.0385827)} steps=2.575221238938053 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=3.91043 val_adapt_rmse=3.93609 adapt_steps=7.12 halt=0.15 train_steps=4.32 +ep20 val_rmse=1.56765 val_adapt_rmse=1.40924 adapt_steps=3.93 halt=0.21 train_steps=3.97 +ep30 val_rmse=2.21943 val_adapt_rmse=1.92857 adapt_steps=4.80 halt=0.21 train_steps=3.70 +ep40 val_rmse=1.34838 val_adapt_rmse=1.13183 adapt_steps=2.79 halt=0.24 train_steps=2.98 +ep50 val_rmse=2.04182 val_adapt_rmse=1.18497 adapt_steps=3.55 halt=0.32 train_steps=2.48 +ep60 val_rmse=1.07650 val_adapt_rmse=1.06298 adapt_steps=3.69 halt=0.38 train_steps=2.00 +ep70 val_rmse=1.17131 val_adapt_rmse=1.05686 adapt_steps=3.22 halt=0.40 train_steps=2.01 +ep80 val_rmse=1.16899 val_adapt_rmse=1.03185 adapt_steps=4.14 halt=0.37 train_steps=2.18 +ep90 val_rmse=1.09374 val_adapt_rmse=1.03779 adapt_steps=3.41 halt=0.41 train_steps=1.92 +ep100 val_rmse=1.13886 val_adapt_rmse=1.05515 adapt_steps=3.32 halt=0.42 train_steps=1.92 +[ogbg-molesol_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rmse': np.float32(1.0765038)} test={'rmse': np.float32(1.0843762)} adaptive={'rmse': np.float32(0.95887977)} steps=3.4070796460176993 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molesol view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molesol --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=5.21048 val_adapt_rmse=2.38789 adapt_steps=5.34 halt=0.15 train_steps=4.20 +ep20 val_rmse=2.82679 val_adapt_rmse=2.25175 adapt_steps=6.12 halt=0.18 train_steps=3.93 +ep30 val_rmse=1.68909 val_adapt_rmse=1.41500 adapt_steps=4.84 halt=0.19 train_steps=3.72 +ep40 val_rmse=2.08134 val_adapt_rmse=1.83294 adapt_steps=4.53 halt=0.20 train_steps=3.51 +ep50 val_rmse=1.95089 val_adapt_rmse=1.48969 adapt_steps=3.67 halt=0.26 train_steps=2.94 +ep60 val_rmse=1.80235 val_adapt_rmse=1.37428 adapt_steps=3.46 halt=0.33 train_steps=2.30 +ep70 val_rmse=1.62703 val_adapt_rmse=1.25301 adapt_steps=2.74 halt=0.42 train_steps=1.88 +ep80 val_rmse=1.70083 val_adapt_rmse=1.27133 adapt_steps=2.71 halt=0.39 train_steps=2.06 +ep90 val_rmse=1.71529 val_adapt_rmse=1.30814 adapt_steps=2.67 halt=0.40 train_steps=1.94 +ep100 val_rmse=1.69038 val_adapt_rmse=1.31634 adapt_steps=2.68 halt=0.40 train_steps=1.95 +[ogbg-molesol_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(1.6270279)} test={'rmse': np.float32(1.2973164)} adaptive={'rmse': np.float32(1.0733075)} steps=2.814159292035398 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molesol_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-molhiv_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-molhiv_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..ff2e7a5 --- /dev/null +++ b/logs/ogbg-molhiv_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,278 @@ +[run] ogbg-molhiv view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.50465 val_adapt_rocauc=0.51605 adapt_steps=2.17 halt=0.44 train_steps=1.86 +ep20 val_rocauc=0.68965 val_adapt_rocauc=0.70338 adapt_steps=2.05 halt=0.43 train_steps=1.93 +ep30 val_rocauc=0.74705 val_adapt_rocauc=0.71674 adapt_steps=2.16 halt=0.44 train_steps=1.88 +ep40 val_rocauc=0.66882 val_adapt_rocauc=0.69730 adapt_steps=2.23 halt=0.44 train_steps=1.90 +ep50 val_rocauc=0.69645 val_adapt_rocauc=0.75311 adapt_steps=2.17 halt=0.44 train_steps=1.88 +ep60 val_rocauc=0.72560 val_adapt_rocauc=0.75246 adapt_steps=2.12 halt=0.44 train_steps=1.87 +ep70 val_rocauc=0.73678 val_adapt_rocauc=0.76610 adapt_steps=2.13 halt=0.44 train_steps=1.86 +ep80 val_rocauc=0.73638 val_adapt_rocauc=0.77730 adapt_steps=2.07 halt=0.44 train_steps=1.85 +ep90 val_rocauc=0.76228 val_adapt_rocauc=0.78163 adapt_steps=2.11 halt=0.44 train_steps=1.85 +ep100 val_rocauc=0.75586 val_adapt_rocauc=0.78034 adapt_steps=2.10 halt=0.44 train_steps=1.85 +[ogbg-molhiv_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.7622844405251813} test={'rocauc': 0.728463276617934} adaptive={'rocauc': 0.7414685490256668} steps=2.1835643082907854 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.69659 val_adapt_rocauc=0.67019 adapt_steps=2.27 halt=0.43 train_steps=1.91 +ep20 val_rocauc=0.71128 val_adapt_rocauc=0.74182 adapt_steps=2.25 halt=0.44 train_steps=1.90 +ep30 val_rocauc=0.71784 val_adapt_rocauc=0.71432 adapt_steps=2.09 halt=0.43 train_steps=1.92 +ep40 val_rocauc=0.57809 val_adapt_rocauc=0.61863 adapt_steps=2.07 halt=0.43 train_steps=1.95 +ep50 val_rocauc=0.71898 val_adapt_rocauc=0.72970 adapt_steps=2.15 halt=0.44 train_steps=1.90 +ep60 val_rocauc=0.74272 val_adapt_rocauc=0.75436 adapt_steps=2.17 halt=0.44 train_steps=1.91 +ep70 val_rocauc=0.64453 val_adapt_rocauc=0.67305 adapt_steps=2.09 halt=0.43 train_steps=1.92 +ep80 val_rocauc=0.66148 val_adapt_rocauc=0.71639 adapt_steps=2.11 halt=0.44 train_steps=1.89 +ep90 val_rocauc=0.68795 val_adapt_rocauc=0.73859 adapt_steps=2.10 halt=0.44 train_steps=1.89 +ep100 val_rocauc=0.69479 val_adapt_rocauc=0.73030 adapt_steps=2.10 halt=0.44 train_steps=1.88 +[ogbg-molhiv_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7427218058005095} test={'rocauc': 0.7216728789663763} adaptive={'rocauc': 0.7219567778442999} steps=2.1913445173839046 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.65285 val_adapt_rocauc=0.67983 adapt_steps=2.17 halt=0.43 train_steps=1.95 +ep20 val_rocauc=0.63964 val_adapt_rocauc=0.67770 adapt_steps=2.12 halt=0.43 train_steps=1.91 +ep30 val_rocauc=0.70439 val_adapt_rocauc=0.72607 adapt_steps=2.28 halt=0.43 train_steps=1.93 +ep40 val_rocauc=0.67857 val_adapt_rocauc=0.67646 adapt_steps=2.09 halt=0.44 train_steps=1.90 +ep50 val_rocauc=0.66299 val_adapt_rocauc=0.70493 adapt_steps=2.10 halt=0.44 train_steps=1.89 +ep60 val_rocauc=0.72309 val_adapt_rocauc=0.75250 adapt_steps=2.10 halt=0.43 train_steps=1.91 +ep70 val_rocauc=0.69147 val_adapt_rocauc=0.71552 adapt_steps=2.06 halt=0.44 train_steps=1.88 +ep80 val_rocauc=0.75410 val_adapt_rocauc=0.76395 adapt_steps=2.12 halt=0.44 train_steps=1.88 +ep90 val_rocauc=0.76238 val_adapt_rocauc=0.75313 adapt_steps=2.09 halt=0.44 train_steps=1.85 +ep100 val_rocauc=0.76521 val_adapt_rocauc=0.75985 adapt_steps=2.09 halt=0.44 train_steps=1.87 +[ogbg-molhiv_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.76521164021164} test={'rocauc': 0.7279630738330211} adaptive={'rocauc': 0.7195040460418316} steps=2.1412594213469487 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.60161 val_adapt_rocauc=0.64669 adapt_steps=2.08 halt=0.43 train_steps=1.92 +ep20 val_rocauc=0.71865 val_adapt_rocauc=0.72325 adapt_steps=2.51 halt=0.43 train_steps=1.95 +ep30 val_rocauc=0.72758 val_adapt_rocauc=0.72496 adapt_steps=2.13 halt=0.43 train_steps=1.95 +ep40 val_rocauc=0.75529 val_adapt_rocauc=0.73154 adapt_steps=2.08 halt=0.43 train_steps=1.93 +ep50 val_rocauc=0.74199 val_adapt_rocauc=0.74141 adapt_steps=2.12 halt=0.43 train_steps=1.96 +ep60 val_rocauc=0.70099 val_adapt_rocauc=0.73010 adapt_steps=2.10 halt=0.43 train_steps=1.95 +ep70 val_rocauc=0.76185 val_adapt_rocauc=0.77202 adapt_steps=2.10 halt=0.44 train_steps=1.91 +ep80 val_rocauc=0.77242 val_adapt_rocauc=0.76566 adapt_steps=2.14 halt=0.44 train_steps=1.91 +ep90 val_rocauc=0.75081 val_adapt_rocauc=0.75828 adapt_steps=2.14 halt=0.44 train_steps=1.90 +ep100 val_rocauc=0.74508 val_adapt_rocauc=0.74839 adapt_steps=2.13 halt=0.44 train_steps=1.90 +[ogbg-molhiv_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.7724224720752498} test={'rocauc': 0.7540721141775624} adaptive={'rocauc': 0.7493028061569362} steps=2.225382932166302 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.63791 val_adapt_rocauc=0.65941 adapt_steps=2.16 halt=0.44 train_steps=1.86 +ep20 val_rocauc=0.65958 val_adapt_rocauc=0.68114 adapt_steps=2.14 halt=0.43 train_steps=1.98 +ep30 val_rocauc=0.70813 val_adapt_rocauc=0.71648 adapt_steps=2.10 halt=0.44 train_steps=1.91 +ep40 val_rocauc=0.71160 val_adapt_rocauc=0.71489 adapt_steps=2.12 halt=0.43 train_steps=1.92 +ep50 val_rocauc=0.74629 val_adapt_rocauc=0.72922 adapt_steps=2.12 halt=0.43 train_steps=1.93 +ep60 val_rocauc=0.77221 val_adapt_rocauc=0.77362 adapt_steps=2.10 halt=0.44 train_steps=1.91 +ep70 val_rocauc=0.73550 val_adapt_rocauc=0.75380 adapt_steps=2.22 halt=0.43 train_steps=1.96 +ep80 val_rocauc=0.75176 val_adapt_rocauc=0.76963 adapt_steps=2.17 halt=0.43 train_steps=1.95 +ep90 val_rocauc=0.77064 val_adapt_rocauc=0.77482 adapt_steps=2.17 halt=0.44 train_steps=1.89 +ep100 val_rocauc=0.77092 val_adapt_rocauc=0.77462 adapt_steps=2.15 halt=0.44 train_steps=1.89 +[ogbg-molhiv_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7722111992945326} test={'rocauc': 0.7005330346279379} adaptive={'rocauc': 0.7209988605419185} steps=2.161196207148067 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.62286 val_adapt_rocauc=0.63631 adapt_steps=2.12 halt=0.43 train_steps=1.92 +ep20 val_rocauc=0.50681 val_adapt_rocauc=0.62452 adapt_steps=2.03 halt=0.44 train_steps=1.88 +ep30 val_rocauc=0.71981 val_adapt_rocauc=0.71587 adapt_steps=2.12 halt=0.44 train_steps=1.92 +ep40 val_rocauc=0.63676 val_adapt_rocauc=0.69827 adapt_steps=2.10 halt=0.44 train_steps=1.89 +ep50 val_rocauc=0.71987 val_adapt_rocauc=0.71579 adapt_steps=2.10 halt=0.43 train_steps=1.95 +ep60 val_rocauc=0.77652 val_adapt_rocauc=0.77421 adapt_steps=2.13 halt=0.43 train_steps=1.94 +ep70 val_rocauc=0.73578 val_adapt_rocauc=0.73905 adapt_steps=2.14 halt=0.44 train_steps=1.90 +ep80 val_rocauc=0.77909 val_adapt_rocauc=0.77380 adapt_steps=2.21 halt=0.43 train_steps=1.93 +ep90 val_rocauc=0.77284 val_adapt_rocauc=0.76992 adapt_steps=2.20 halt=0.43 train_steps=1.95 +ep100 val_rocauc=0.75856 val_adapt_rocauc=0.75794 adapt_steps=2.19 halt=0.43 train_steps=1.95 +[ogbg-molhiv_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.7790944052518126} test={'rocauc': 0.7510651036134339} adaptive={'rocauc': 0.7493443287819387} steps=2.2287867736445417 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.69482 val_adapt_rocauc=0.69337 adapt_steps=2.09 halt=0.43 train_steps=1.95 +ep20 val_rocauc=0.69048 val_adapt_rocauc=0.68828 adapt_steps=2.11 halt=0.43 train_steps=1.92 +ep30 val_rocauc=0.70734 val_adapt_rocauc=0.68263 adapt_steps=2.08 halt=0.43 train_steps=1.96 +ep40 val_rocauc=0.75896 val_adapt_rocauc=0.75541 adapt_steps=2.17 halt=0.43 train_steps=1.96 +ep50 val_rocauc=0.63094 val_adapt_rocauc=0.71781 adapt_steps=2.15 halt=0.43 train_steps=2.00 +ep60 val_rocauc=0.78134 val_adapt_rocauc=0.78253 adapt_steps=2.15 halt=0.43 train_steps=1.95 +ep70 val_rocauc=0.74767 val_adapt_rocauc=0.77658 adapt_steps=2.14 halt=0.43 train_steps=1.93 +ep80 val_rocauc=0.75221 val_adapt_rocauc=0.76723 adapt_steps=2.19 halt=0.43 train_steps=1.98 +ep90 val_rocauc=0.73516 val_adapt_rocauc=0.74942 adapt_steps=2.14 halt=0.43 train_steps=1.92 +ep100 val_rocauc=0.74673 val_adapt_rocauc=0.75054 adapt_steps=2.13 halt=0.44 train_steps=1.91 +[ogbg-molhiv_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7813418577307466} test={'rocauc': 0.7294279534174086} adaptive={'rocauc': 0.7396338283860252} steps=2.215171407731583 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rocauc=0.65392 val_adapt_rocauc=0.65972 adapt_steps=2.26 halt=0.45 train_steps=1.76 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep20 val_rocauc=0.70167 val_adapt_rocauc=0.73359 adapt_steps=2.14 halt=0.45 train_steps=1.83 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep30 val_rocauc=0.57289 val_adapt_rocauc=0.60013 adapt_steps=2.02 halt=0.45 train_steps=1.83 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep40 val_rocauc=0.74876 val_adapt_rocauc=0.72038 adapt_steps=2.03 halt=0.44 train_steps=1.89 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep50 val_rocauc=0.69108 val_adapt_rocauc=0.72229 adapt_steps=2.11 halt=0.43 train_steps=1.92 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep60 val_rocauc=0.69969 val_adapt_rocauc=0.70883 adapt_steps=2.12 halt=0.44 train_steps=1.89 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep70 val_rocauc=0.72681 val_adapt_rocauc=0.77015 adapt_steps=2.16 halt=0.43 train_steps=1.93 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep80 val_rocauc=0.74562 val_adapt_rocauc=0.77410 adapt_steps=2.13 halt=0.43 train_steps=1.92 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep90 val_rocauc=0.71370 val_adapt_rocauc=0.78801 adapt_steps=2.16 halt=0.44 train_steps=1.90 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep100 val_rocauc=0.71775 val_adapt_rocauc=0.78617 adapt_steps=2.14 halt=0.44 train_steps=1.89 +[ogbg-molhiv_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.7487599206349206} test={'rocauc': 0.6730373317368046} adaptive={'rocauc': 0.6877382722725429} steps=2.0588378312667155 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.58244 val_adapt_rocauc=0.62459 adapt_steps=2.17 halt=0.43 train_steps=1.95 +ep20 val_rocauc=0.65886 val_adapt_rocauc=0.66235 adapt_steps=2.06 halt=0.44 train_steps=1.89 +ep30 val_rocauc=0.69707 val_adapt_rocauc=0.69637 adapt_steps=2.06 halt=0.44 train_steps=1.92 +ep40 val_rocauc=0.73515 val_adapt_rocauc=0.77200 adapt_steps=2.17 halt=0.44 train_steps=1.91 +ep50 val_rocauc=0.72530 val_adapt_rocauc=0.75137 adapt_steps=2.12 halt=0.43 train_steps=1.97 +ep60 val_rocauc=0.69888 val_adapt_rocauc=0.73379 adapt_steps=2.09 halt=0.43 train_steps=1.98 +ep70 val_rocauc=0.71051 val_adapt_rocauc=0.74897 adapt_steps=2.12 halt=0.43 train_steps=1.94 +ep80 val_rocauc=0.76901 val_adapt_rocauc=0.77657 adapt_steps=2.10 halt=0.43 train_steps=1.93 +ep90 val_rocauc=0.73056 val_adapt_rocauc=0.76530 adapt_steps=2.11 halt=0.44 train_steps=1.92 +ep100 val_rocauc=0.73376 val_adapt_rocauc=0.75580 adapt_steps=2.13 halt=0.43 train_steps=1.93 +[ogbg-molhiv_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.769011488340192} test={'rocauc': 0.7434075590490352} adaptive={'rocauc': 0.7426736707931786} steps=2.178215414539266 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.60803 val_adapt_rocauc=0.69045 adapt_steps=2.06 halt=0.47 train_steps=1.67 +ep20 val_rocauc=0.64308 val_adapt_rocauc=0.78621 adapt_steps=2.01 halt=0.45 train_steps=1.79 +ep30 val_rocauc=0.74069 val_adapt_rocauc=0.75513 adapt_steps=2.21 halt=0.45 train_steps=1.83 +ep40 val_rocauc=0.75046 val_adapt_rocauc=0.78035 adapt_steps=2.23 halt=0.43 train_steps=1.93 +ep50 val_rocauc=0.71486 val_adapt_rocauc=0.75589 adapt_steps=2.34 halt=0.43 train_steps=2.01 +ep60 val_rocauc=0.77074 val_adapt_rocauc=0.80191 adapt_steps=2.10 halt=0.43 train_steps=1.99 +ep70 val_rocauc=0.78228 val_adapt_rocauc=0.80466 adapt_steps=2.21 halt=0.43 train_steps=1.97 +ep80 val_rocauc=0.81468 val_adapt_rocauc=0.81506 adapt_steps=2.13 halt=0.43 train_steps=1.96 +ep90 val_rocauc=0.81502 val_adapt_rocauc=0.81015 adapt_steps=2.14 halt=0.43 train_steps=1.95 +ep100 val_rocauc=0.81203 val_adapt_rocauc=0.80753 adapt_steps=2.11 halt=0.43 train_steps=1.95 +[ogbg-molhiv_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.8150199637468156} test={'rocauc': 0.7415303501419496} adaptive={'rocauc': 0.7291546766063463} steps=2.2144420131291027 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.57563 val_adapt_rocauc=0.57248 adapt_steps=2.08 halt=0.43 train_steps=1.96 +ep20 val_rocauc=0.68901 val_adapt_rocauc=0.69659 adapt_steps=2.07 halt=0.43 train_steps=1.97 +ep30 val_rocauc=0.72785 val_adapt_rocauc=0.73945 adapt_steps=2.17 halt=0.43 train_steps=1.95 +ep40 val_rocauc=0.80307 val_adapt_rocauc=0.79528 adapt_steps=2.10 halt=0.43 train_steps=1.93 +ep50 val_rocauc=0.74046 val_adapt_rocauc=0.74882 adapt_steps=2.15 halt=0.43 train_steps=1.96 +ep60 val_rocauc=0.76188 val_adapt_rocauc=0.76877 adapt_steps=2.13 halt=0.43 train_steps=1.95 +ep70 val_rocauc=0.74584 val_adapt_rocauc=0.74880 adapt_steps=2.14 halt=0.43 train_steps=1.99 +ep80 val_rocauc=0.72576 val_adapt_rocauc=0.72937 adapt_steps=2.09 halt=0.43 train_steps=1.95 +ep90 val_rocauc=0.72962 val_adapt_rocauc=0.72854 adapt_steps=2.17 halt=0.43 train_steps=1.98 +ep100 val_rocauc=0.73262 val_adapt_rocauc=0.73243 adapt_steps=2.13 halt=0.43 train_steps=1.97 +[ogbg-molhiv_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.8030723349010386} test={'rocauc': 0.7502983835145524} adaptive={'rocauc': 0.7566658297765504} steps=2.2205203014831025 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.55912 val_adapt_rocauc=0.62342 adapt_steps=2.04 halt=0.43 train_steps=1.90 +ep20 val_rocauc=0.68402 val_adapt_rocauc=0.67609 adapt_steps=2.15 halt=0.44 train_steps=1.84 +ep30 val_rocauc=0.70234 val_adapt_rocauc=0.71080 adapt_steps=2.18 halt=0.44 train_steps=1.90 +ep40 val_rocauc=0.71746 val_adapt_rocauc=0.70275 adapt_steps=2.42 halt=0.44 train_steps=1.86 +ep50 val_rocauc=0.74377 val_adapt_rocauc=0.74631 adapt_steps=2.14 halt=0.44 train_steps=1.90 +ep60 val_rocauc=0.68302 val_adapt_rocauc=0.74882 adapt_steps=2.18 halt=0.44 train_steps=1.91 +ep70 val_rocauc=0.70337 val_adapt_rocauc=0.73207 adapt_steps=2.09 halt=0.44 train_steps=1.90 +ep80 val_rocauc=0.75679 val_adapt_rocauc=0.76447 adapt_steps=2.14 halt=0.44 train_steps=1.90 +ep90 val_rocauc=0.74719 val_adapt_rocauc=0.76515 adapt_steps=2.12 halt=0.44 train_steps=1.88 +ep100 val_rocauc=0.74130 val_adapt_rocauc=0.75597 adapt_steps=2.12 halt=0.44 train_steps=1.89 +[ogbg-molhiv_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.7567852243778168} test={'rocauc': 0.7480619556190734} adaptive={'rocauc': 0.7477104617702157} steps=2.225869195234622 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.62000 val_adapt_rocauc=0.63880 adapt_steps=2.22 halt=0.44 train_steps=1.89 +ep20 val_rocauc=0.59820 val_adapt_rocauc=0.61098 adapt_steps=2.16 halt=0.44 train_steps=1.89 +ep30 val_rocauc=0.67764 val_adapt_rocauc=0.68890 adapt_steps=2.08 halt=0.44 train_steps=1.86 +ep40 val_rocauc=0.66809 val_adapt_rocauc=0.66128 adapt_steps=2.09 halt=0.44 train_steps=1.89 +ep50 val_rocauc=0.73528 val_adapt_rocauc=0.71478 adapt_steps=2.09 halt=0.44 train_steps=1.91 +ep60 val_rocauc=0.69053 val_adapt_rocauc=0.68013 adapt_steps=2.16 halt=0.44 train_steps=1.89 +ep70 val_rocauc=0.68528 val_adapt_rocauc=0.72841 adapt_steps=2.10 halt=0.44 train_steps=1.89 +ep80 val_rocauc=0.68138 val_adapt_rocauc=0.69448 adapt_steps=2.11 halt=0.44 train_steps=1.88 +ep90 val_rocauc=0.68754 val_adapt_rocauc=0.69915 adapt_steps=2.12 halt=0.43 train_steps=1.93 +ep100 val_rocauc=0.69254 val_adapt_rocauc=0.70377 adapt_steps=2.12 halt=0.44 train_steps=1.88 +[ogbg-molhiv_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7352782676856752} test={'rocauc': 0.6961702620753587} adaptive={'rocauc': 0.7016995306977732} steps=2.0795040116703136 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.63285 val_adapt_rocauc=0.63797 adapt_steps=2.09 halt=0.43 train_steps=1.94 +ep20 val_rocauc=0.59546 val_adapt_rocauc=0.62621 adapt_steps=2.09 halt=0.43 train_steps=1.94 +ep30 val_rocauc=0.64157 val_adapt_rocauc=0.64537 adapt_steps=2.07 halt=0.43 train_steps=1.95 +ep40 val_rocauc=0.78253 val_adapt_rocauc=0.79697 adapt_steps=2.21 halt=0.43 train_steps=1.94 +ep50 val_rocauc=0.78099 val_adapt_rocauc=0.78545 adapt_steps=2.23 halt=0.42 train_steps=2.02 +ep60 val_rocauc=0.75496 val_adapt_rocauc=0.75580 adapt_steps=2.16 halt=0.43 train_steps=1.92 +ep70 val_rocauc=0.76923 val_adapt_rocauc=0.76459 adapt_steps=2.17 halt=0.43 train_steps=1.94 +ep80 val_rocauc=0.75888 val_adapt_rocauc=0.75674 adapt_steps=2.10 halt=0.45 train_steps=1.83 +ep90 val_rocauc=0.73937 val_adapt_rocauc=0.73410 adapt_steps=2.10 halt=0.45 train_steps=1.77 +ep100 val_rocauc=0.71941 val_adapt_rocauc=0.71715 adapt_steps=2.07 halt=0.46 train_steps=1.74 +[ogbg-molhiv_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.7825329463060945} test={'rocauc': 0.7205932907163135} adaptive={'rocauc': 0.7218775951640628} steps=2.2939460247994163 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.58405 val_adapt_rocauc=0.62652 adapt_steps=2.13 halt=0.44 train_steps=1.87 +ep20 val_rocauc=0.63653 val_adapt_rocauc=0.65469 adapt_steps=2.04 halt=0.44 train_steps=1.83 +ep30 val_rocauc=0.68206 val_adapt_rocauc=0.66472 adapt_steps=2.09 halt=0.44 train_steps=1.85 +ep40 val_rocauc=0.73261 val_adapt_rocauc=0.71919 adapt_steps=2.08 halt=0.44 train_steps=1.82 +ep50 val_rocauc=0.76797 val_adapt_rocauc=0.79653 adapt_steps=2.13 halt=0.44 train_steps=1.86 +ep60 val_rocauc=0.74831 val_adapt_rocauc=0.72643 adapt_steps=2.04 halt=0.45 train_steps=1.77 +ep70 val_rocauc=0.73358 val_adapt_rocauc=0.77502 adapt_steps=2.03 halt=0.46 train_steps=1.73 +ep80 val_rocauc=0.77783 val_adapt_rocauc=0.77223 adapt_steps=2.06 halt=0.45 train_steps=1.75 +ep90 val_rocauc=0.78442 val_adapt_rocauc=0.76721 adapt_steps=2.05 halt=0.46 train_steps=1.71 +ep100 val_rocauc=0.78612 val_adapt_rocauc=0.76507 adapt_steps=2.06 halt=0.46 train_steps=1.73 +[ogbg-molhiv_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.7861153978052127} test={'rocauc': 0.7306939106587612} adaptive={'rocauc': 0.7378782904266208} steps=2.085825431558473 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.65109 val_adapt_rocauc=0.65071 adapt_steps=2.09 halt=0.43 train_steps=1.91 +ep20 val_rocauc=0.66377 val_adapt_rocauc=0.70133 adapt_steps=2.15 halt=0.43 train_steps=1.92 +ep30 val_rocauc=0.69912 val_adapt_rocauc=0.72873 adapt_steps=2.15 halt=0.43 train_steps=1.91 +ep40 val_rocauc=0.75265 val_adapt_rocauc=0.77675 adapt_steps=2.15 halt=0.43 train_steps=1.95 +ep50 val_rocauc=0.71979 val_adapt_rocauc=0.76668 adapt_steps=2.10 halt=0.45 train_steps=1.82 +ep60 val_rocauc=0.78688 val_adapt_rocauc=0.78537 adapt_steps=2.27 halt=0.44 train_steps=1.89 +ep70 val_rocauc=0.80465 val_adapt_rocauc=0.78273 adapt_steps=2.15 halt=0.43 train_steps=1.93 +ep80 val_rocauc=0.77804 val_adapt_rocauc=0.78100 adapt_steps=2.15 halt=0.43 train_steps=1.94 +ep90 val_rocauc=0.76305 val_adapt_rocauc=0.77873 adapt_steps=2.18 halt=0.44 train_steps=1.91 +ep100 val_rocauc=0.76926 val_adapt_rocauc=0.78354 adapt_steps=2.14 halt=0.44 train_steps=1.90 +[ogbg-molhiv_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.8046522878698804} test={'rocauc': 0.7416423646652118} adaptive={'rocauc': 0.7333127329612392} steps=2.1964502796012644 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molhiv view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molhiv --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.62676 val_adapt_rocauc=0.67960 adapt_steps=2.09 halt=0.44 train_steps=1.87 +ep20 val_rocauc=0.65528 val_adapt_rocauc=0.72533 adapt_steps=2.03 halt=0.44 train_steps=1.88 +ep30 val_rocauc=0.72398 val_adapt_rocauc=0.73609 adapt_steps=2.22 halt=0.43 train_steps=1.92 +ep40 val_rocauc=0.67653 val_adapt_rocauc=0.71372 adapt_steps=2.12 halt=0.44 train_steps=1.88 +ep50 val_rocauc=0.72748 val_adapt_rocauc=0.72608 adapt_steps=2.14 halt=0.44 train_steps=1.90 +ep60 val_rocauc=0.69598 val_adapt_rocauc=0.70466 adapt_steps=2.12 halt=0.44 train_steps=1.87 +ep70 val_rocauc=0.73788 val_adapt_rocauc=0.71230 adapt_steps=2.10 halt=0.44 train_steps=1.88 +ep80 val_rocauc=0.72564 val_adapt_rocauc=0.74313 adapt_steps=2.06 halt=0.45 train_steps=1.82 +ep90 val_rocauc=0.73463 val_adapt_rocauc=0.75132 adapt_steps=2.07 halt=0.45 train_steps=1.78 +ep100 val_rocauc=0.72183 val_adapt_rocauc=0.73975 adapt_steps=2.05 halt=0.45 train_steps=1.76 +[ogbg-molhiv_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.7378778414658045} test={'rocauc': 0.6883099325981575} adaptive={'rocauc': 0.7290619749319223} steps=2.102358375881352 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molhiv_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-mollipo_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-mollipo_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..d6e2617 --- /dev/null +++ b/logs/ogbg-mollipo_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,242 @@ +[run] ogbg-mollipo view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.27165 val_adapt_rmse=1.16086 adapt_steps=5.19 halt=0.18 train_steps=4.00 +ep20 val_rmse=1.51709 val_adapt_rmse=1.16539 adapt_steps=5.08 halt=0.19 train_steps=3.67 +ep30 val_rmse=3.96000 val_adapt_rmse=2.88970 adapt_steps=4.23 halt=0.21 train_steps=3.41 +ep40 val_rmse=1.45958 val_adapt_rmse=1.27486 adapt_steps=6.80 halt=0.17 train_steps=3.91 +ep50 val_rmse=1.62306 val_adapt_rmse=1.21914 adapt_steps=3.90 halt=0.21 train_steps=3.43 +ep60 val_rmse=0.96105 val_adapt_rmse=0.88005 adapt_steps=3.28 halt=0.29 train_steps=2.74 +ep70 val_rmse=0.93501 val_adapt_rmse=0.81324 adapt_steps=2.69 halt=0.29 train_steps=2.70 +ep80 val_rmse=0.92098 val_adapt_rmse=0.82825 adapt_steps=2.68 halt=0.33 train_steps=2.45 +ep90 val_rmse=0.91291 val_adapt_rmse=0.76874 adapt_steps=2.81 halt=0.36 train_steps=2.21 +ep100 val_rmse=0.88727 val_adapt_rmse=0.77048 adapt_steps=2.72 halt=0.36 train_steps=2.25 +[ogbg-mollipo_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rmse': np.float32(0.88727427)} test={'rmse': np.float32(1.0246027)} adaptive={'rmse': np.float32(0.86185706)} steps=2.5404761904761903 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.40935 val_adapt_rmse=1.37490 adapt_steps=6.02 halt=0.16 train_steps=3.96 +ep20 val_rmse=1.87982 val_adapt_rmse=1.47829 adapt_steps=5.06 halt=0.19 train_steps=3.73 +ep30 val_rmse=1.00892 val_adapt_rmse=0.95657 adapt_steps=4.83 halt=0.24 train_steps=3.32 +ep40 val_rmse=1.92570 val_adapt_rmse=1.26685 adapt_steps=4.02 halt=0.23 train_steps=3.29 +ep50 val_rmse=0.89318 val_adapt_rmse=0.84550 adapt_steps=4.34 halt=0.21 train_steps=3.32 +ep60 val_rmse=0.95712 val_adapt_rmse=0.82385 adapt_steps=3.63 halt=0.29 train_steps=2.75 +ep70 val_rmse=0.99810 val_adapt_rmse=0.83945 adapt_steps=3.09 halt=0.30 train_steps=2.58 +ep80 val_rmse=0.93375 val_adapt_rmse=0.78058 adapt_steps=2.90 halt=0.34 train_steps=2.41 +ep90 val_rmse=0.87733 val_adapt_rmse=0.75005 adapt_steps=2.50 halt=0.36 train_steps=2.25 +ep100 val_rmse=0.89479 val_adapt_rmse=0.75851 adapt_steps=2.63 halt=0.37 train_steps=2.22 +[ogbg-mollipo_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(0.87732804)} test={'rmse': np.float32(0.9709947)} adaptive={'rmse': np.float32(0.82210046)} steps=2.395238095238095 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.21491 val_adapt_rmse=1.09189 adapt_steps=6.06 halt=0.20 train_steps=3.72 +ep20 val_rmse=0.94709 val_adapt_rmse=0.88665 adapt_steps=4.28 halt=0.20 train_steps=3.65 +ep30 val_rmse=1.53588 val_adapt_rmse=1.21575 adapt_steps=5.26 halt=0.23 train_steps=3.20 +ep40 val_rmse=1.16658 val_adapt_rmse=0.91900 adapt_steps=2.85 halt=0.29 train_steps=2.66 +ep50 val_rmse=1.44945 val_adapt_rmse=0.92876 adapt_steps=3.54 halt=0.28 train_steps=2.66 +ep60 val_rmse=1.13499 val_adapt_rmse=0.82488 adapt_steps=2.63 halt=0.38 train_steps=2.07 +ep70 val_rmse=0.91036 val_adapt_rmse=0.73458 adapt_steps=2.57 halt=0.41 train_steps=1.95 +ep80 val_rmse=1.03989 val_adapt_rmse=0.75262 adapt_steps=2.41 halt=0.42 train_steps=1.81 +ep90 val_rmse=0.94022 val_adapt_rmse=0.73763 adapt_steps=2.20 halt=0.44 train_steps=1.74 +ep100 val_rmse=0.93598 val_adapt_rmse=0.74143 adapt_steps=2.24 halt=0.44 train_steps=1.75 +[ogbg-mollipo_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(0.91035604)} test={'rmse': np.float32(0.9299253)} adaptive={'rmse': np.float32(0.80096245)} steps=2.4785714285714286 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.07418 val_adapt_rmse=0.96580 adapt_steps=5.63 halt=0.17 train_steps=4.01 +ep20 val_rmse=1.90831 val_adapt_rmse=1.30970 adapt_steps=4.28 halt=0.20 train_steps=3.73 +ep30 val_rmse=1.69953 val_adapt_rmse=1.09305 adapt_steps=3.80 halt=0.28 train_steps=2.82 +ep40 val_rmse=1.27229 val_adapt_rmse=0.92711 adapt_steps=3.40 halt=0.32 train_steps=2.51 +ep50 val_rmse=1.35372 val_adapt_rmse=0.91724 adapt_steps=2.40 halt=0.37 train_steps=2.18 +ep60 val_rmse=1.15361 val_adapt_rmse=0.77828 adapt_steps=2.54 halt=0.37 train_steps=2.12 +ep70 val_rmse=1.14055 val_adapt_rmse=0.76690 adapt_steps=2.25 halt=0.40 train_steps=1.94 +ep80 val_rmse=1.12685 val_adapt_rmse=0.76632 adapt_steps=2.16 halt=0.42 train_steps=1.82 +ep90 val_rmse=1.16042 val_adapt_rmse=0.74041 adapt_steps=2.18 halt=0.43 train_steps=1.75 +ep100 val_rmse=1.14354 val_adapt_rmse=0.74383 adapt_steps=2.17 halt=0.44 train_steps=1.72 +[ogbg-mollipo_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=10 val={'rmse': np.float32(1.0741799)} test={'rmse': np.float32(1.1165451)} adaptive={'rmse': np.float32(0.9747765)} steps=5.461904761904762 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.08473 val_adapt_rmse=1.00704 adapt_steps=4.76 halt=0.23 train_steps=3.42 +ep20 val_rmse=1.22357 val_adapt_rmse=1.10102 adapt_steps=5.70 halt=0.18 train_steps=3.84 +ep30 val_rmse=1.41681 val_adapt_rmse=1.07035 adapt_steps=3.46 halt=0.24 train_steps=3.17 +ep40 val_rmse=1.58552 val_adapt_rmse=1.03190 adapt_steps=3.37 halt=0.32 train_steps=2.55 +ep50 val_rmse=0.95944 val_adapt_rmse=0.79974 adapt_steps=4.35 halt=0.32 train_steps=2.42 +ep60 val_rmse=0.88782 val_adapt_rmse=0.74478 adapt_steps=2.66 halt=0.36 train_steps=2.22 +ep70 val_rmse=0.88373 val_adapt_rmse=0.74463 adapt_steps=2.40 halt=0.41 train_steps=1.95 +ep80 val_rmse=0.89006 val_adapt_rmse=0.73390 adapt_steps=2.38 halt=0.41 train_steps=1.89 +ep90 val_rmse=0.93277 val_adapt_rmse=0.72185 adapt_steps=2.30 halt=0.44 train_steps=1.78 +ep100 val_rmse=0.89800 val_adapt_rmse=0.71467 adapt_steps=2.27 halt=0.44 train_steps=1.75 +[ogbg-mollipo_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(0.88372606)} test={'rmse': np.float32(0.9250613)} adaptive={'rmse': np.float32(0.79357445)} steps=2.2928571428571427 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.53265 val_adapt_rmse=1.42937 adapt_steps=6.60 halt=0.17 train_steps=3.92 +ep20 val_rmse=1.29141 val_adapt_rmse=0.99349 adapt_steps=4.15 halt=0.19 train_steps=3.62 +ep30 val_rmse=1.13429 val_adapt_rmse=0.86465 adapt_steps=3.24 halt=0.24 train_steps=3.34 +ep40 val_rmse=1.92000 val_adapt_rmse=1.25179 adapt_steps=3.38 halt=0.31 train_steps=2.61 +ep50 val_rmse=1.34785 val_adapt_rmse=0.94338 adapt_steps=3.02 halt=0.37 train_steps=2.19 +ep60 val_rmse=1.07604 val_adapt_rmse=0.77996 adapt_steps=2.36 halt=0.39 train_steps=1.97 +ep70 val_rmse=1.03247 val_adapt_rmse=0.74302 adapt_steps=2.47 halt=0.39 train_steps=1.97 +ep80 val_rmse=1.07814 val_adapt_rmse=0.77095 adapt_steps=2.34 halt=0.43 train_steps=1.78 +ep90 val_rmse=0.98119 val_adapt_rmse=0.74076 adapt_steps=2.20 halt=0.44 train_steps=1.73 +ep100 val_rmse=0.96236 val_adapt_rmse=0.73650 adapt_steps=2.20 halt=0.44 train_steps=1.71 +[ogbg-mollipo_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rmse': np.float32(0.96235555)} test={'rmse': np.float32(0.9985843)} adaptive={'rmse': np.float32(0.76624817)} steps=2.123809523809524 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=2.42198 val_adapt_rmse=1.36438 adapt_steps=3.38 halt=0.21 train_steps=3.54 +ep20 val_rmse=1.25519 val_adapt_rmse=0.94352 adapt_steps=3.34 halt=0.23 train_steps=3.29 +ep30 val_rmse=0.88739 val_adapt_rmse=0.77527 adapt_steps=3.58 halt=0.29 train_steps=2.79 +ep40 val_rmse=0.94143 val_adapt_rmse=0.72441 adapt_steps=2.57 halt=0.36 train_steps=2.34 +ep50 val_rmse=1.17491 val_adapt_rmse=0.78578 adapt_steps=2.60 halt=0.39 train_steps=1.98 +ep60 val_rmse=1.07281 val_adapt_rmse=0.74421 adapt_steps=2.29 halt=0.42 train_steps=1.87 +ep70 val_rmse=0.86657 val_adapt_rmse=0.73868 adapt_steps=2.39 halt=0.43 train_steps=1.77 +ep80 val_rmse=1.02592 val_adapt_rmse=0.70370 adapt_steps=2.29 halt=0.45 train_steps=1.68 +ep90 val_rmse=0.92289 val_adapt_rmse=0.68310 adapt_steps=2.12 halt=0.45 train_steps=1.67 +ep100 val_rmse=0.96157 val_adapt_rmse=0.68717 adapt_steps=2.11 halt=0.45 train_steps=1.66 +[ogbg-mollipo_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(0.8665701)} test={'rmse': np.float32(0.8929515)} adaptive={'rmse': np.float32(0.7886162)} steps=2.316666666666667 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rmse=1.28346 val_adapt_rmse=1.19172 adapt_steps=7.30 halt=0.17 train_steps=4.01 +ep20 val_rmse=1.19132 val_adapt_rmse=1.15026 adapt_steps=5.02 halt=0.16 train_steps=4.12 +ep30 val_rmse=1.24669 val_adapt_rmse=1.23446 adapt_steps=7.86 halt=0.17 train_steps=3.95 +ep40 val_rmse=1.09641 val_adapt_rmse=1.01818 adapt_steps=6.98 halt=0.17 train_steps=3.91 +ep50 val_rmse=1.74926 val_adapt_rmse=1.34685 adapt_steps=6.52 halt=0.19 train_steps=3.68 +ep60 val_rmse=1.01835 val_adapt_rmse=1.01362 adapt_steps=7.48 halt=0.19 train_steps=3.73 +ep70 val_rmse=0.91474 val_adapt_rmse=0.86541 adapt_steps=4.82 halt=0.22 train_steps=3.43 +ep80 val_rmse=1.25632 val_adapt_rmse=0.98700 adapt_steps=3.31 halt=0.29 train_steps=2.85 +ep90 val_rmse=1.07636 val_adapt_rmse=0.88479 adapt_steps=3.19 halt=0.30 train_steps=2.75 +ep100 val_rmse=0.96630 val_adapt_rmse=0.82440 adapt_steps=3.11 halt=0.32 train_steps=2.60 +[ogbg-mollipo_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(0.91474026)} test={'rmse': np.float32(0.92669034)} adaptive={'rmse': np.float32(0.87501276)} steps=4.614285714285714 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.86424 val_adapt_rmse=1.27606 adapt_steps=3.81 halt=0.18 train_steps=4.03 +ep20 val_rmse=1.04319 val_adapt_rmse=1.04292 adapt_steps=7.96 halt=0.22 train_steps=3.37 +ep30 val_rmse=0.92998 val_adapt_rmse=0.93388 adapt_steps=4.37 halt=0.24 train_steps=3.26 +ep40 val_rmse=1.51121 val_adapt_rmse=1.15834 adapt_steps=4.63 halt=0.23 train_steps=3.36 +ep50 val_rmse=0.96101 val_adapt_rmse=0.84809 adapt_steps=3.66 halt=0.26 train_steps=3.06 +ep60 val_rmse=1.14213 val_adapt_rmse=1.05520 adapt_steps=3.24 halt=0.28 train_steps=2.91 +ep70 val_rmse=0.93218 val_adapt_rmse=0.81774 adapt_steps=3.45 halt=0.33 train_steps=2.58 +ep80 val_rmse=0.95239 val_adapt_rmse=0.77677 adapt_steps=2.99 halt=0.35 train_steps=2.34 +ep90 val_rmse=0.93136 val_adapt_rmse=0.76093 adapt_steps=2.85 halt=0.36 train_steps=2.30 +ep100 val_rmse=0.93118 val_adapt_rmse=0.76794 adapt_steps=2.76 halt=0.36 train_steps=2.30 +[ogbg-mollipo_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rmse': np.float32(0.9299843)} test={'rmse': np.float32(0.9385538)} adaptive={'rmse': np.float32(0.9375044)} steps=4.252380952380952 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.88452 val_adapt_rmse=1.87707 adapt_steps=7.73 halt=0.15 train_steps=4.10 +ep20 val_rmse=1.09441 val_adapt_rmse=1.07942 adapt_steps=4.85 halt=0.16 train_steps=4.14 +ep30 val_rmse=1.46053 val_adapt_rmse=1.45161 adapt_steps=6.21 halt=0.18 train_steps=3.76 +ep40 val_rmse=1.06170 val_adapt_rmse=1.01696 adapt_steps=6.72 halt=0.19 train_steps=3.72 +ep50 val_rmse=1.10540 val_adapt_rmse=0.99523 adapt_steps=4.06 halt=0.22 train_steps=3.40 +ep60 val_rmse=1.28399 val_adapt_rmse=1.00615 adapt_steps=3.50 halt=0.25 train_steps=2.98 +ep70 val_rmse=0.98637 val_adapt_rmse=0.86637 adapt_steps=3.27 halt=0.28 train_steps=2.68 +ep80 val_rmse=1.05416 val_adapt_rmse=0.83985 adapt_steps=3.08 halt=0.33 train_steps=2.34 +ep90 val_rmse=1.01988 val_adapt_rmse=0.82922 adapt_steps=2.91 halt=0.34 train_steps=2.30 +ep100 val_rmse=1.01144 val_adapt_rmse=0.82713 adapt_steps=2.86 halt=0.35 train_steps=2.21 +[ogbg-mollipo_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(0.9863713)} test={'rmse': np.float32(0.97120994)} adaptive={'rmse': np.float32(0.8344992)} steps=3.211904761904762 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.34779 val_adapt_rmse=0.93483 adapt_steps=4.54 halt=0.20 train_steps=3.73 +ep20 val_rmse=1.15086 val_adapt_rmse=0.84117 adapt_steps=3.96 halt=0.23 train_steps=3.41 +ep30 val_rmse=1.08380 val_adapt_rmse=0.86139 adapt_steps=3.40 halt=0.31 train_steps=2.63 +ep40 val_rmse=1.24278 val_adapt_rmse=1.00814 adapt_steps=2.49 halt=0.35 train_steps=2.27 +ep50 val_rmse=0.85133 val_adapt_rmse=0.72631 adapt_steps=2.55 halt=0.35 train_steps=2.27 +ep60 val_rmse=0.84346 val_adapt_rmse=0.71899 adapt_steps=2.54 halt=0.39 train_steps=2.02 +ep70 val_rmse=0.83666 val_adapt_rmse=0.72927 adapt_steps=2.23 halt=0.43 train_steps=1.81 +ep80 val_rmse=0.83940 val_adapt_rmse=0.68725 adapt_steps=2.22 halt=0.45 train_steps=1.70 +ep90 val_rmse=0.86161 val_adapt_rmse=0.68760 adapt_steps=2.14 halt=0.45 train_steps=1.67 +ep100 val_rmse=0.83073 val_adapt_rmse=0.67974 adapt_steps=2.15 halt=0.46 train_steps=1.66 +[ogbg-mollipo_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rmse': np.float32(0.8307315)} test={'rmse': np.float32(0.88247204)} adaptive={'rmse': np.float32(0.7250288)} steps=2.1166666666666667 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.43440 val_adapt_rmse=1.35579 adapt_steps=6.75 halt=0.16 train_steps=4.16 +ep20 val_rmse=1.18041 val_adapt_rmse=1.01839 adapt_steps=4.81 halt=0.23 train_steps=3.30 +ep30 val_rmse=1.33342 val_adapt_rmse=1.19676 adapt_steps=4.62 halt=0.24 train_steps=3.29 +ep40 val_rmse=1.14385 val_adapt_rmse=0.94329 adapt_steps=3.83 halt=0.30 train_steps=2.73 +ep50 val_rmse=0.98573 val_adapt_rmse=0.81495 adapt_steps=3.43 halt=0.29 train_steps=2.84 +ep60 val_rmse=1.09272 val_adapt_rmse=0.87901 adapt_steps=3.29 halt=0.35 train_steps=2.31 +ep70 val_rmse=0.98565 val_adapt_rmse=0.80267 adapt_steps=2.66 halt=0.37 train_steps=2.19 +ep80 val_rmse=0.90149 val_adapt_rmse=0.75615 adapt_steps=2.45 halt=0.38 train_steps=2.15 +ep90 val_rmse=0.86151 val_adapt_rmse=0.74536 adapt_steps=2.43 halt=0.39 train_steps=2.05 +ep100 val_rmse=0.86321 val_adapt_rmse=0.74945 adapt_steps=2.36 halt=0.40 train_steps=2.01 +[ogbg-mollipo_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(0.86150765)} test={'rmse': np.float32(0.9196055)} adaptive={'rmse': np.float32(0.80384284)} steps=2.35 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.56494 val_adapt_rmse=1.41555 adapt_steps=7.49 halt=0.17 train_steps=3.92 +ep20 val_rmse=2.31785 val_adapt_rmse=1.61681 adapt_steps=4.02 halt=0.21 train_steps=3.49 +ep30 val_rmse=1.08211 val_adapt_rmse=1.00973 adapt_steps=3.67 halt=0.27 train_steps=3.19 +ep40 val_rmse=1.31061 val_adapt_rmse=0.94954 adapt_steps=3.96 halt=0.26 train_steps=2.95 +ep50 val_rmse=1.32023 val_adapt_rmse=0.95793 adapt_steps=3.31 halt=0.26 train_steps=2.99 +ep60 val_rmse=1.03568 val_adapt_rmse=0.85814 adapt_steps=3.84 halt=0.33 train_steps=2.48 +ep70 val_rmse=1.04043 val_adapt_rmse=0.80950 adapt_steps=2.95 halt=0.33 train_steps=2.40 +ep80 val_rmse=0.91964 val_adapt_rmse=0.75463 adapt_steps=2.46 halt=0.39 train_steps=2.06 +ep90 val_rmse=1.05229 val_adapt_rmse=0.75106 adapt_steps=2.40 halt=0.40 train_steps=1.98 +ep100 val_rmse=0.99474 val_adapt_rmse=0.76454 adapt_steps=2.36 halt=0.40 train_steps=1.96 +[ogbg-mollipo_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rmse': np.float32(0.9196411)} test={'rmse': np.float32(1.0144817)} adaptive={'rmse': np.float32(0.84780806)} steps=2.3452380952380953 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.42499 val_adapt_rmse=1.05416 adapt_steps=3.42 halt=0.19 train_steps=3.92 +ep20 val_rmse=1.07841 val_adapt_rmse=0.88516 adapt_steps=3.39 halt=0.32 train_steps=2.56 +ep30 val_rmse=1.03923 val_adapt_rmse=0.87261 adapt_steps=4.42 halt=0.31 train_steps=2.51 +ep40 val_rmse=1.21034 val_adapt_rmse=0.82150 adapt_steps=2.78 halt=0.33 train_steps=2.51 +ep50 val_rmse=1.11343 val_adapt_rmse=0.92757 adapt_steps=2.13 halt=0.42 train_steps=1.90 +ep60 val_rmse=0.96797 val_adapt_rmse=0.88460 adapt_steps=2.27 halt=0.43 train_steps=1.82 +ep70 val_rmse=0.81329 val_adapt_rmse=0.73885 adapt_steps=2.09 halt=0.44 train_steps=1.74 +ep80 val_rmse=0.79543 val_adapt_rmse=0.73836 adapt_steps=2.12 halt=0.45 train_steps=1.70 +ep90 val_rmse=0.74588 val_adapt_rmse=0.70559 adapt_steps=2.05 halt=0.46 train_steps=1.64 +ep100 val_rmse=0.75996 val_adapt_rmse=0.71414 adapt_steps=2.04 halt=0.47 train_steps=1.61 +[ogbg-mollipo_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rmse': np.float32(0.74587685)} test={'rmse': np.float32(0.80546176)} adaptive={'rmse': np.float32(0.74045366)} steps=2.033333333333333 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=108.34754 val_adapt_rmse=108.19418 adapt_steps=6.18 halt=0.21 train_steps=3.49 +ep20 val_rmse=2266.93286 val_adapt_rmse=2266.91235 adapt_steps=4.57 halt=0.23 train_steps=3.37 +ep30 val_rmse=2111.57764 val_adapt_rmse=2111.54224 adapt_steps=3.60 halt=0.26 train_steps=3.07 +ep40 val_rmse=108348.03906 val_adapt_rmse=108348.01562 adapt_steps=3.31 halt=0.31 train_steps=2.56 +ep50 val_rmse=182760.04688 val_adapt_rmse=182759.93750 adapt_steps=3.01 halt=0.35 train_steps=2.25 +ep60 val_rmse=164947.39062 val_adapt_rmse=164947.28125 adapt_steps=3.77 halt=0.34 train_steps=2.36 +ep70 val_rmse=15163.92676 val_adapt_rmse=15163.80664 adapt_steps=2.50 halt=0.41 train_steps=1.95 +ep80 val_rmse=25785.35156 val_adapt_rmse=25785.21094 adapt_steps=2.29 halt=0.40 train_steps=1.97 +ep90 val_rmse=17197.17773 val_adapt_rmse=17197.09961 adapt_steps=2.17 halt=0.44 train_steps=1.78 +ep100 val_rmse=18469.90625 val_adapt_rmse=18469.83008 adapt_steps=2.14 halt=0.44 train_steps=1.76 +[ogbg-mollipo_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=10 val={'rmse': np.float32(108.34754)} test={'rmse': np.float32(1.5814604)} adaptive={'rmse': np.float32(1.2714993)} steps=6.019047619047619 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.22657 val_adapt_rmse=1.19078 adapt_steps=6.04 halt=0.16 train_steps=4.01 +ep20 val_rmse=1.00560 val_adapt_rmse=0.97855 adapt_steps=4.33 halt=0.23 train_steps=3.33 +ep30 val_rmse=1.42232 val_adapt_rmse=1.00428 adapt_steps=3.31 halt=0.28 train_steps=2.89 +ep40 val_rmse=1.33162 val_adapt_rmse=0.99679 adapt_steps=3.43 halt=0.32 train_steps=2.59 +ep50 val_rmse=1.29004 val_adapt_rmse=0.84554 adapt_steps=3.06 halt=0.35 train_steps=2.23 +ep60 val_rmse=1.26334 val_adapt_rmse=0.87993 adapt_steps=2.58 halt=0.40 train_steps=2.00 +ep70 val_rmse=1.29285 val_adapt_rmse=0.77047 adapt_steps=2.37 halt=0.41 train_steps=1.92 +ep80 val_rmse=1.30170 val_adapt_rmse=0.73633 adapt_steps=2.18 halt=0.42 train_steps=1.83 +ep90 val_rmse=1.13537 val_adapt_rmse=0.75800 adapt_steps=2.15 halt=0.44 train_steps=1.74 +ep100 val_rmse=1.07797 val_adapt_rmse=0.75675 adapt_steps=2.15 halt=0.44 train_steps=1.75 +[ogbg-mollipo_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=20 val={'rmse': np.float32(1.005599)} test={'rmse': np.float32(0.98203164)} adaptive={'rmse': np.float32(0.9414124)} steps=4.321428571428571 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-mollipo view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-mollipo --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rmse=1.16326 val_adapt_rmse=1.09274 adapt_steps=5.73 halt=0.21 train_steps=3.61 +ep20 val_rmse=2.63258 val_adapt_rmse=1.56333 adapt_steps=4.45 halt=0.24 train_steps=3.16 +ep30 val_rmse=1.78657 val_adapt_rmse=1.24891 adapt_steps=4.25 halt=0.27 train_steps=3.00 +ep40 val_rmse=1.38779 val_adapt_rmse=1.02154 adapt_steps=2.87 halt=0.32 train_steps=2.53 +ep50 val_rmse=1.18581 val_adapt_rmse=0.83394 adapt_steps=2.96 halt=0.34 train_steps=2.37 +ep60 val_rmse=1.45301 val_adapt_rmse=0.94618 adapt_steps=2.93 halt=0.35 train_steps=2.25 +ep70 val_rmse=1.13892 val_adapt_rmse=0.85011 adapt_steps=2.33 halt=0.43 train_steps=1.82 +ep80 val_rmse=1.14148 val_adapt_rmse=0.83007 adapt_steps=2.34 halt=0.43 train_steps=1.77 +ep90 val_rmse=1.20479 val_adapt_rmse=0.82034 adapt_steps=2.19 halt=0.46 train_steps=1.65 +ep100 val_rmse=1.18848 val_adapt_rmse=0.81683 adapt_steps=2.25 halt=0.45 train_steps=1.66 +[ogbg-mollipo_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rmse': np.float32(1.1389227)} test={'rmse': np.float32(1.0732719)} adaptive={'rmse': np.float32(0.83319956)} steps=2.2404761904761905 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-mollipo_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-molsider_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-molsider_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..68adc15 --- /dev/null +++ b/logs/ogbg-molsider_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,278 @@ +[run] ogbg-molsider view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.52242 val_adapt_rocauc=0.52242 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.57120 val_adapt_rocauc=0.57031 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.52140 val_adapt_rocauc=0.52140 adapt_steps=8.00 halt=0.12 train_steps=4.45 +ep40 val_rocauc=0.54349 val_adapt_rocauc=0.54351 adapt_steps=7.93 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.52355 val_adapt_rocauc=0.52355 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.57651 val_adapt_rocauc=0.57763 adapt_steps=7.97 halt=0.12 train_steps=4.47 +ep70 val_rocauc=0.59417 val_adapt_rocauc=0.59417 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.57162 val_adapt_rocauc=0.57204 adapt_steps=7.96 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.58977 val_adapt_rocauc=0.58977 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep100 val_rocauc=0.59364 val_adapt_rocauc=0.59378 adapt_steps=7.99 halt=0.12 train_steps=4.50 +[ogbg-molsider_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.5941723817458207} test={'rocauc': 0.5949106211087469} adaptive={'rocauc': 0.5949106211087469} steps=8.0 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.52714 val_adapt_rocauc=0.52714 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.53410 val_adapt_rocauc=0.53410 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.55999 val_adapt_rocauc=0.55999 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.58039 val_adapt_rocauc=0.58039 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.59855 val_adapt_rocauc=0.59871 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.58511 val_adapt_rocauc=0.58521 adapt_steps=7.98 halt=0.12 train_steps=4.50 +ep70 val_rocauc=0.58872 val_adapt_rocauc=0.58872 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.59935 val_adapt_rocauc=0.59935 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.60537 val_adapt_rocauc=0.60495 adapt_steps=7.96 halt=0.12 train_steps=4.47 +ep100 val_rocauc=0.61174 val_adapt_rocauc=0.61174 adapt_steps=8.00 halt=0.12 train_steps=4.50 +[ogbg-molsider_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.6117392254931898} test={'rocauc': 0.6143023355631505} adaptive={'rocauc': 0.6147815453760646} steps=7.958041958041958 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.53639 val_adapt_rocauc=0.53639 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.54446 val_adapt_rocauc=0.54446 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.56844 val_adapt_rocauc=0.56844 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.59523 val_adapt_rocauc=0.59523 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.58925 val_adapt_rocauc=0.58925 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.61196 val_adapt_rocauc=0.60952 adapt_steps=7.48 halt=0.13 train_steps=4.43 +ep70 val_rocauc=0.60679 val_adapt_rocauc=0.60935 adapt_steps=7.81 halt=0.12 train_steps=4.49 +ep80 val_rocauc=0.62425 val_adapt_rocauc=0.62328 adapt_steps=7.92 halt=0.12 train_steps=4.49 +ep90 val_rocauc=0.63455 val_adapt_rocauc=0.63464 adapt_steps=7.98 halt=0.12 train_steps=4.50 +ep100 val_rocauc=0.63261 val_adapt_rocauc=0.63316 adapt_steps=7.90 halt=0.13 train_steps=4.48 +[ogbg-molsider_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.634553246023819} test={'rocauc': 0.6445134528927392} adaptive={'rocauc': 0.644509359822436} steps=7.93006993006993 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.53993 val_adapt_rocauc=0.53993 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.51721 val_adapt_rocauc=0.51820 adapt_steps=7.81 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.57455 val_adapt_rocauc=0.57455 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.54410 val_adapt_rocauc=0.54400 adapt_steps=7.98 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.57426 val_adapt_rocauc=0.57426 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.57583 val_adapt_rocauc=0.57668 adapt_steps=7.83 halt=0.12 train_steps=4.49 +ep70 val_rocauc=0.57077 val_adapt_rocauc=0.57333 adapt_steps=7.81 halt=0.13 train_steps=4.46 +ep80 val_rocauc=0.60329 val_adapt_rocauc=0.60324 adapt_steps=7.98 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.60080 val_adapt_rocauc=0.60075 adapt_steps=7.99 halt=0.12 train_steps=4.48 +ep100 val_rocauc=0.61496 val_adapt_rocauc=0.61461 adapt_steps=7.97 halt=0.13 train_steps=4.48 +[ogbg-molsider_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.6149561902831908} test={'rocauc': 0.6082036653138152} adaptive={'rocauc': 0.6072637395395359} steps=7.923076923076923 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.51326 val_adapt_rocauc=0.51326 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.53070 val_adapt_rocauc=0.53070 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.52081 val_adapt_rocauc=0.52081 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.53950 val_adapt_rocauc=0.53893 adapt_steps=7.83 halt=0.12 train_steps=4.47 +ep50 val_rocauc=0.55260 val_adapt_rocauc=0.55337 adapt_steps=7.90 halt=0.12 train_steps=4.48 +ep60 val_rocauc=0.55241 val_adapt_rocauc=0.55241 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep70 val_rocauc=0.56511 val_adapt_rocauc=0.56511 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.56634 val_adapt_rocauc=0.56626 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.57675 val_adapt_rocauc=0.57675 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep100 val_rocauc=0.57777 val_adapt_rocauc=0.57777 adapt_steps=8.00 halt=0.12 train_steps=4.49 +[ogbg-molsider_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.5777678714357024} test={'rocauc': 0.6337321824820535} adaptive={'rocauc': 0.6339582691134998} steps=7.958041958041958 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.53249 val_adapt_rocauc=0.52907 adapt_steps=7.41 halt=0.12 train_steps=4.47 +ep20 val_rocauc=0.53857 val_adapt_rocauc=0.53838 adapt_steps=7.96 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.55430 val_adapt_rocauc=0.55430 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.55775 val_adapt_rocauc=0.55775 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.53048 val_adapt_rocauc=0.53048 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.58757 val_adapt_rocauc=0.58768 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep70 val_rocauc=0.58127 val_adapt_rocauc=0.58127 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.58969 val_adapt_rocauc=0.58958 adapt_steps=7.97 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.59525 val_adapt_rocauc=0.59512 adapt_steps=7.94 halt=0.13 train_steps=4.44 +ep100 val_rocauc=0.61397 val_adapt_rocauc=0.61302 adapt_steps=7.97 halt=0.12 train_steps=4.45 +[ogbg-molsider_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.6139745501285409} test={'rocauc': 0.6068834635828694} adaptive={'rocauc': 0.6064255172013142} steps=7.916083916083916 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.53954 val_adapt_rocauc=0.53954 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.54449 val_adapt_rocauc=0.54449 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.58517 val_adapt_rocauc=0.58517 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.57396 val_adapt_rocauc=0.57671 adapt_steps=7.88 halt=0.12 train_steps=4.45 +ep50 val_rocauc=0.58068 val_adapt_rocauc=0.58068 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.60139 val_adapt_rocauc=0.60139 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep70 val_rocauc=0.61355 val_adapt_rocauc=0.61355 adapt_steps=8.00 halt=0.12 train_steps=4.45 +ep80 val_rocauc=0.57128 val_adapt_rocauc=0.57180 adapt_steps=7.95 halt=0.12 train_steps=4.48 +ep90 val_rocauc=0.62410 val_adapt_rocauc=0.62410 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep100 val_rocauc=0.62875 val_adapt_rocauc=0.62875 adapt_steps=8.00 halt=0.12 train_steps=4.50 +[ogbg-molsider_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.6287543036419472} test={'rocauc': 0.621503855814713} adaptive={'rocauc': 0.6212391169096168} steps=7.951048951048951 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rocauc=0.53705 val_adapt_rocauc=0.53705 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep20 val_rocauc=0.49938 val_adapt_rocauc=0.49938 adapt_steps=8.00 halt=0.12 train_steps=4.43 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep30 val_rocauc=0.50914 val_adapt_rocauc=0.50914 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep40 val_rocauc=0.52533 val_adapt_rocauc=0.52533 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep50 val_rocauc=0.56368 val_adapt_rocauc=0.56368 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep60 val_rocauc=0.58102 val_adapt_rocauc=0.58102 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep70 val_rocauc=0.55427 val_adapt_rocauc=0.55427 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep80 val_rocauc=0.56861 val_adapt_rocauc=0.56861 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep90 val_rocauc=0.54785 val_adapt_rocauc=0.54785 adapt_steps=8.00 halt=0.12 train_steps=4.50 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep100 val_rocauc=0.56012 val_adapt_rocauc=0.56012 adapt_steps=8.00 halt=0.12 train_steps=4.50 +[ogbg-molsider_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.5810212759423172} test={'rocauc': 0.5397701280540309} adaptive={'rocauc': 0.5397701280540309} steps=8.0 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.52015 val_adapt_rocauc=0.51409 adapt_steps=7.45 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.56979 val_adapt_rocauc=0.56338 adapt_steps=7.21 halt=0.13 train_steps=4.43 +ep30 val_rocauc=0.57163 val_adapt_rocauc=0.57163 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.50300 val_adapt_rocauc=0.50300 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.55048 val_adapt_rocauc=0.55135 adapt_steps=7.97 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.55929 val_adapt_rocauc=0.55929 adapt_steps=8.00 halt=0.13 train_steps=4.50 +ep70 val_rocauc=0.61128 val_adapt_rocauc=0.61133 adapt_steps=7.96 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.61143 val_adapt_rocauc=0.61143 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.59636 val_adapt_rocauc=0.59635 adapt_steps=7.96 halt=0.12 train_steps=4.50 +ep100 val_rocauc=0.59800 val_adapt_rocauc=0.59800 adapt_steps=8.00 halt=0.12 train_steps=4.49 +[ogbg-molsider_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.6114344272964439} test={'rocauc': 0.6071293608886619} adaptive={'rocauc': 0.6071293608886619} steps=8.0 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.50663 val_adapt_rocauc=0.50663 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.53836 val_adapt_rocauc=0.53836 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.54072 val_adapt_rocauc=0.54072 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep40 val_rocauc=0.52242 val_adapt_rocauc=0.52242 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.52826 val_adapt_rocauc=0.52826 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.52041 val_adapt_rocauc=0.52041 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep70 val_rocauc=0.53993 val_adapt_rocauc=0.53993 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.52758 val_adapt_rocauc=0.52758 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.53864 val_adapt_rocauc=0.53864 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep100 val_rocauc=0.54079 val_adapt_rocauc=0.54079 adapt_steps=8.00 halt=0.12 train_steps=4.50 +[ogbg-molsider_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.5407876481859505} test={'rocauc': 0.5825278400429263} adaptive={'rocauc': 0.5825278400429263} steps=8.0 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.51625 val_adapt_rocauc=0.51625 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.55876 val_adapt_rocauc=0.55876 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.58353 val_adapt_rocauc=0.58374 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.59270 val_adapt_rocauc=0.59269 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.59117 val_adapt_rocauc=0.59117 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.59394 val_adapt_rocauc=0.59559 adapt_steps=7.96 halt=0.12 train_steps=4.48 +ep70 val_rocauc=0.57628 val_adapt_rocauc=0.57628 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.59810 val_adapt_rocauc=0.59810 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.59935 val_adapt_rocauc=0.59919 adapt_steps=7.96 halt=0.12 train_steps=4.48 +ep100 val_rocauc=0.60973 val_adapt_rocauc=0.60972 adapt_steps=7.97 halt=0.12 train_steps=4.48 +[ogbg-molsider_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.609727680398977} test={'rocauc': 0.6245839801623748} adaptive={'rocauc': 0.624652550767547} steps=7.951048951048951 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.53875 val_adapt_rocauc=0.53875 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.55745 val_adapt_rocauc=0.55745 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep30 val_rocauc=0.52523 val_adapt_rocauc=0.52508 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.57020 val_adapt_rocauc=0.57005 adapt_steps=7.99 halt=0.12 train_steps=4.43 +ep50 val_rocauc=0.57818 val_adapt_rocauc=0.57818 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.58430 val_adapt_rocauc=0.58478 adapt_steps=7.88 halt=0.13 train_steps=4.46 +ep70 val_rocauc=0.62524 val_adapt_rocauc=0.62524 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep80 val_rocauc=0.58782 val_adapt_rocauc=0.58782 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep90 val_rocauc=0.63291 val_adapt_rocauc=0.63291 adapt_steps=8.00 halt=0.13 train_steps=4.50 +ep100 val_rocauc=0.63016 val_adapt_rocauc=0.63032 adapt_steps=7.97 halt=0.13 train_steps=4.47 +[ogbg-molsider_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.6329113613630306} test={'rocauc': 0.6060675375955825} adaptive={'rocauc': 0.6066839663477379} steps=7.909090909090909 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.51769 val_adapt_rocauc=0.51769 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.54554 val_adapt_rocauc=0.54554 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.52433 val_adapt_rocauc=0.52433 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.54839 val_adapt_rocauc=0.54757 adapt_steps=7.82 halt=0.12 train_steps=4.40 +ep50 val_rocauc=0.56667 val_adapt_rocauc=0.56667 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.56001 val_adapt_rocauc=0.56001 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep70 val_rocauc=0.56325 val_adapt_rocauc=0.56263 adapt_steps=7.93 halt=0.12 train_steps=4.38 +ep80 val_rocauc=0.57410 val_adapt_rocauc=0.57405 adapt_steps=7.99 halt=0.12 train_steps=4.49 +ep90 val_rocauc=0.58333 val_adapt_rocauc=0.58333 adapt_steps=7.92 halt=0.13 train_steps=4.47 +ep100 val_rocauc=0.58659 val_adapt_rocauc=0.58673 adapt_steps=7.91 halt=0.13 train_steps=4.47 +[ogbg-molsider_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.5865936638036943} test={'rocauc': 0.624583829207758} adaptive={'rocauc': 0.6241791163198843} steps=7.881118881118881 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.52959 val_adapt_rocauc=0.53014 adapt_steps=7.83 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.59000 val_adapt_rocauc=0.59000 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.57720 val_adapt_rocauc=0.57720 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep40 val_rocauc=0.58010 val_adapt_rocauc=0.58016 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.56105 val_adapt_rocauc=0.56396 adapt_steps=7.42 halt=0.12 train_steps=4.47 +ep60 val_rocauc=0.60272 val_adapt_rocauc=0.60144 adapt_steps=7.73 halt=0.13 train_steps=4.46 +ep70 val_rocauc=0.63704 val_adapt_rocauc=0.63704 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep80 val_rocauc=0.63367 val_adapt_rocauc=0.63378 adapt_steps=7.95 halt=0.12 train_steps=4.46 +ep90 val_rocauc=0.64091 val_adapt_rocauc=0.64157 adapt_steps=7.88 halt=0.13 train_steps=4.47 +ep100 val_rocauc=0.63703 val_adapt_rocauc=0.63925 adapt_steps=7.80 halt=0.13 train_steps=4.46 +[ogbg-molsider_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.6409076943311921} test={'rocauc': 0.6149744329414113} adaptive={'rocauc': 0.6144652607315165} steps=7.8671328671328675 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.51335 val_adapt_rocauc=0.51335 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.51105 val_adapt_rocauc=0.50798 adapt_steps=7.59 halt=0.13 train_steps=4.47 +ep30 val_rocauc=0.54401 val_adapt_rocauc=0.54401 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.57421 val_adapt_rocauc=0.57421 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.58087 val_adapt_rocauc=0.58094 adapt_steps=7.98 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.58740 val_adapt_rocauc=0.58740 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep70 val_rocauc=0.62738 val_adapt_rocauc=0.62725 adapt_steps=7.99 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.66049 val_adapt_rocauc=0.66028 adapt_steps=7.93 halt=0.13 train_steps=4.46 +ep90 val_rocauc=0.63467 val_adapt_rocauc=0.63512 adapt_steps=7.97 halt=0.13 train_steps=4.45 +ep100 val_rocauc=0.64614 val_adapt_rocauc=0.64687 adapt_steps=7.94 halt=0.12 train_steps=4.50 +[ogbg-molsider_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.6604919913889579} test={'rocauc': 0.5589855993934405} adaptive={'rocauc': 0.5580832949005652} steps=7.895104895104895 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.52188 val_adapt_rocauc=0.52188 adapt_steps=8.00 halt=0.12 train_steps=4.49 +ep20 val_rocauc=0.55853 val_adapt_rocauc=0.55853 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep30 val_rocauc=0.55126 val_adapt_rocauc=0.55126 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep40 val_rocauc=0.55645 val_adapt_rocauc=0.55527 adapt_steps=7.83 halt=0.12 train_steps=4.50 +ep50 val_rocauc=0.55799 val_adapt_rocauc=0.55799 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep60 val_rocauc=0.59604 val_adapt_rocauc=0.59534 adapt_steps=7.92 halt=0.12 train_steps=4.49 +ep70 val_rocauc=0.57920 val_adapt_rocauc=0.57921 adapt_steps=7.96 halt=0.12 train_steps=4.50 +ep80 val_rocauc=0.63001 val_adapt_rocauc=0.62920 adapt_steps=7.96 halt=0.12 train_steps=4.49 +ep90 val_rocauc=0.61962 val_adapt_rocauc=0.61885 adapt_steps=7.95 halt=0.12 train_steps=4.50 +ep100 val_rocauc=0.61522 val_adapt_rocauc=0.61430 adapt_steps=7.93 halt=0.12 train_steps=4.47 +[ogbg-molsider_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.630007512812611} test={'rocauc': 0.5843445908586726} adaptive={'rocauc': 0.5856297203566897} steps=7.8671328671328675 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-molsider view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:0 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-molsider --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:0 --num_workers 0 +ep10 val_rocauc=0.52120 val_adapt_rocauc=0.52120 adapt_steps=8.00 halt=0.12 train_steps=4.50 +ep20 val_rocauc=0.54017 val_adapt_rocauc=0.53843 adapt_steps=7.87 halt=0.12 train_steps=4.49 +ep30 val_rocauc=0.53233 val_adapt_rocauc=0.53233 adapt_steps=8.00 halt=0.12 train_steps=4.48 +ep40 val_rocauc=0.53931 val_adapt_rocauc=0.53735 adapt_steps=7.72 halt=0.13 train_steps=4.46 +ep50 val_rocauc=0.56152 val_adapt_rocauc=0.56188 adapt_steps=7.75 halt=0.13 train_steps=4.47 +ep60 val_rocauc=0.57531 val_adapt_rocauc=0.57388 adapt_steps=7.59 halt=0.13 train_steps=4.41 +ep70 val_rocauc=0.55453 val_adapt_rocauc=0.56066 adapt_steps=7.09 halt=0.13 train_steps=4.44 +ep80 val_rocauc=0.58010 val_adapt_rocauc=0.57429 adapt_steps=7.18 halt=0.13 train_steps=4.45 +ep90 val_rocauc=0.56976 val_adapt_rocauc=0.56750 adapt_steps=7.34 halt=0.13 train_steps=4.44 +ep100 val_rocauc=0.57081 val_adapt_rocauc=0.56938 adapt_steps=7.11 halt=0.13 train_steps=4.39 +[ogbg-molsider_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.58009596629467} test={'rocauc': 0.6009364115000575} adaptive={'rocauc': 0.5959003553252203} steps=7.27972027972028 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-molsider_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/logs/ogbg-moltox21_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log b/logs/ogbg-moltox21_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log new file mode 100644 index 0000000..f6f668c --- /dev/null +++ b/logs/ogbg-moltox21_act_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_e100_s0.log @@ -0,0 +1,278 @@ +[run] ogbg-moltox21 view=gin compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view gin --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.73518 val_adapt_rocauc=0.73087 adapt_steps=4.49 halt=0.28 train_steps=2.97 +ep20 val_rocauc=0.71039 val_adapt_rocauc=0.70931 adapt_steps=4.19 halt=0.28 train_steps=3.12 +ep30 val_rocauc=0.64736 val_adapt_rocauc=0.64143 adapt_steps=2.97 halt=0.28 train_steps=3.01 +ep40 val_rocauc=0.72656 val_adapt_rocauc=0.72350 adapt_steps=4.94 halt=0.27 train_steps=3.15 +ep50 val_rocauc=0.68867 val_adapt_rocauc=0.72256 adapt_steps=3.45 halt=0.29 train_steps=3.01 +ep60 val_rocauc=0.73756 val_adapt_rocauc=0.73596 adapt_steps=5.25 halt=0.28 train_steps=3.07 +ep70 val_rocauc=0.76341 val_adapt_rocauc=0.76107 adapt_steps=4.26 halt=0.29 train_steps=3.08 +ep80 val_rocauc=0.75486 val_adapt_rocauc=0.76475 adapt_steps=4.17 halt=0.30 train_steps=2.91 +ep90 val_rocauc=0.75145 val_adapt_rocauc=0.76691 adapt_steps=3.96 halt=0.31 train_steps=2.86 +ep100 val_rocauc=0.75282 val_adapt_rocauc=0.76451 adapt_steps=4.03 halt=0.30 train_steps=2.99 +[ogbg-moltox21_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.763406691780224} test={'rocauc': 0.7044116432874441} adaptive={'rocauc': 0.7111955163056712} steps=4.165816326530612 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=gine compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view gine --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.66186 val_adapt_rocauc=0.66299 adapt_steps=3.61 halt=0.28 train_steps=3.04 +ep20 val_rocauc=0.71740 val_adapt_rocauc=0.70641 adapt_steps=4.29 halt=0.30 train_steps=2.97 +ep30 val_rocauc=0.67926 val_adapt_rocauc=0.66414 adapt_steps=3.89 halt=0.28 train_steps=3.03 +ep40 val_rocauc=0.71787 val_adapt_rocauc=0.71626 adapt_steps=3.31 halt=0.29 train_steps=2.99 +ep50 val_rocauc=0.71826 val_adapt_rocauc=0.72383 adapt_steps=4.48 halt=0.29 train_steps=2.99 +ep60 val_rocauc=0.74768 val_adapt_rocauc=0.74921 adapt_steps=4.13 halt=0.29 train_steps=2.98 +ep70 val_rocauc=0.75742 val_adapt_rocauc=0.75384 adapt_steps=3.98 halt=0.29 train_steps=3.08 +ep80 val_rocauc=0.75643 val_adapt_rocauc=0.74987 adapt_steps=4.43 halt=0.31 train_steps=2.96 +ep90 val_rocauc=0.75761 val_adapt_rocauc=0.75256 adapt_steps=4.07 halt=0.30 train_steps=2.99 +ep100 val_rocauc=0.76165 val_adapt_rocauc=0.75534 adapt_steps=4.04 halt=0.31 train_steps=2.91 +[ogbg-moltox21_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.7616493170582249} test={'rocauc': 0.7120140634942237} adaptive={'rocauc': 0.7177387150880706} steps=3.931122448979592 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=gcn compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view gcn --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.71516 val_adapt_rocauc=0.71843 adapt_steps=2.53 halt=0.29 train_steps=2.97 +ep20 val_rocauc=0.72992 val_adapt_rocauc=0.72176 adapt_steps=3.40 halt=0.30 train_steps=2.91 +ep30 val_rocauc=0.71748 val_adapt_rocauc=0.73422 adapt_steps=2.90 halt=0.30 train_steps=2.89 +ep40 val_rocauc=0.75509 val_adapt_rocauc=0.75981 adapt_steps=2.73 halt=0.32 train_steps=2.77 +ep50 val_rocauc=0.75894 val_adapt_rocauc=0.75514 adapt_steps=3.85 halt=0.33 train_steps=2.68 +ep60 val_rocauc=0.76775 val_adapt_rocauc=0.77369 adapt_steps=3.11 halt=0.35 train_steps=2.52 +ep70 val_rocauc=0.75412 val_adapt_rocauc=0.76445 adapt_steps=2.73 halt=0.38 train_steps=2.25 +ep80 val_rocauc=0.74793 val_adapt_rocauc=0.76557 adapt_steps=2.42 halt=0.40 train_steps=2.14 +ep90 val_rocauc=0.74992 val_adapt_rocauc=0.76933 adapt_steps=2.46 halt=0.42 train_steps=2.04 +ep100 val_rocauc=0.74961 val_adapt_rocauc=0.76962 adapt_steps=2.47 halt=0.42 train_steps=1.98 +[ogbg-moltox21_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7677478126932855} test={'rocauc': 0.7135675459281269} adaptive={'rocauc': 0.7247326710130202} steps=3.2589285714285716 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=graphsage compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view graphsage --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.66353 val_adapt_rocauc=0.66241 adapt_steps=6.17 halt=0.30 train_steps=2.79 +ep20 val_rocauc=0.69687 val_adapt_rocauc=0.71600 adapt_steps=3.03 halt=0.28 train_steps=3.04 +ep30 val_rocauc=0.74011 val_adapt_rocauc=0.73276 adapt_steps=3.99 halt=0.30 train_steps=2.91 +ep40 val_rocauc=0.77334 val_adapt_rocauc=0.77752 adapt_steps=4.25 halt=0.31 train_steps=2.82 +ep50 val_rocauc=0.77022 val_adapt_rocauc=0.78137 adapt_steps=3.56 halt=0.32 train_steps=2.78 +ep60 val_rocauc=0.77918 val_adapt_rocauc=0.77520 adapt_steps=3.29 halt=0.34 train_steps=2.65 +ep70 val_rocauc=0.77387 val_adapt_rocauc=0.77500 adapt_steps=2.79 halt=0.37 train_steps=2.37 +ep80 val_rocauc=0.76848 val_adapt_rocauc=0.77284 adapt_steps=2.96 halt=0.40 train_steps=2.15 +ep90 val_rocauc=0.76947 val_adapt_rocauc=0.77447 adapt_steps=2.75 halt=0.40 train_steps=2.14 +ep100 val_rocauc=0.77243 val_adapt_rocauc=0.77696 adapt_steps=2.73 halt=0.40 train_steps=2.18 +[ogbg-moltox21_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7791810357079593} test={'rocauc': 0.7217088253529022} adaptive={'rocauc': 0.7282454305579198} steps=3.3903061224489797 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=gatv2 compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view gatv2 --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.68214 val_adapt_rocauc=0.66532 adapt_steps=3.94 halt=0.27 train_steps=3.13 +ep20 val_rocauc=0.74877 val_adapt_rocauc=0.73707 adapt_steps=4.38 halt=0.29 train_steps=2.96 +ep30 val_rocauc=0.76735 val_adapt_rocauc=0.76425 adapt_steps=4.05 halt=0.30 train_steps=2.88 +ep40 val_rocauc=0.74010 val_adapt_rocauc=0.74347 adapt_steps=3.25 halt=0.31 train_steps=2.84 +ep50 val_rocauc=0.75964 val_adapt_rocauc=0.75650 adapt_steps=4.19 halt=0.33 train_steps=2.73 +ep60 val_rocauc=0.76484 val_adapt_rocauc=0.76741 adapt_steps=3.80 halt=0.30 train_steps=2.94 +ep70 val_rocauc=0.75529 val_adapt_rocauc=0.76640 adapt_steps=3.48 halt=0.35 train_steps=2.56 +ep80 val_rocauc=0.74656 val_adapt_rocauc=0.75879 adapt_steps=2.90 halt=0.36 train_steps=2.46 +ep90 val_rocauc=0.73882 val_adapt_rocauc=0.75668 adapt_steps=3.01 halt=0.39 train_steps=2.26 +ep100 val_rocauc=0.73632 val_adapt_rocauc=0.75539 adapt_steps=2.97 halt=0.38 train_steps=2.35 +[ogbg-moltox21_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=30 val={'rocauc': 0.767354951757618} test={'rocauc': 0.7155377552729235} adaptive={'rocauc': 0.7172144629316312} steps=4.042091836734694 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=graphconv compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view graphconv --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.70226 val_adapt_rocauc=0.68368 adapt_steps=4.53 halt=0.28 train_steps=3.06 +ep20 val_rocauc=0.69482 val_adapt_rocauc=0.69973 adapt_steps=2.94 halt=0.28 train_steps=3.02 +ep30 val_rocauc=0.73997 val_adapt_rocauc=0.72387 adapt_steps=3.56 halt=0.29 train_steps=2.95 +ep40 val_rocauc=0.73715 val_adapt_rocauc=0.74654 adapt_steps=3.93 halt=0.30 train_steps=2.93 +ep50 val_rocauc=0.76406 val_adapt_rocauc=0.76634 adapt_steps=4.12 halt=0.33 train_steps=2.73 +ep60 val_rocauc=0.74500 val_adapt_rocauc=0.77410 adapt_steps=3.28 halt=0.35 train_steps=2.53 +ep70 val_rocauc=0.74134 val_adapt_rocauc=0.76240 adapt_steps=3.34 halt=0.38 train_steps=2.30 +ep80 val_rocauc=0.74270 val_adapt_rocauc=0.76980 adapt_steps=3.36 halt=0.37 train_steps=2.39 +ep90 val_rocauc=0.74651 val_adapt_rocauc=0.76905 adapt_steps=2.91 halt=0.39 train_steps=2.26 +ep100 val_rocauc=0.74268 val_adapt_rocauc=0.76713 adapt_steps=2.77 halt=0.38 train_steps=2.29 +[ogbg-moltox21_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7640586359961631} test={'rocauc': 0.721040156330531} adaptive={'rocauc': 0.732265876016213} steps=4.089285714285714 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=transformer compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view transformer --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.67594 val_adapt_rocauc=0.67877 adapt_steps=2.90 halt=0.27 train_steps=3.04 +ep20 val_rocauc=0.74853 val_adapt_rocauc=0.75119 adapt_steps=4.17 halt=0.28 train_steps=3.04 +ep30 val_rocauc=0.75978 val_adapt_rocauc=0.77013 adapt_steps=3.66 halt=0.28 train_steps=3.06 +ep40 val_rocauc=0.78399 val_adapt_rocauc=0.79071 adapt_steps=4.20 halt=0.32 train_steps=2.76 +ep50 val_rocauc=0.76021 val_adapt_rocauc=0.77394 adapt_steps=3.78 halt=0.32 train_steps=2.70 +ep60 val_rocauc=0.77603 val_adapt_rocauc=0.77979 adapt_steps=3.46 halt=0.35 train_steps=2.50 +ep70 val_rocauc=0.78021 val_adapt_rocauc=0.78970 adapt_steps=2.86 halt=0.39 train_steps=2.27 +ep80 val_rocauc=0.77594 val_adapt_rocauc=0.78551 adapt_steps=2.57 halt=0.42 train_steps=2.00 +ep90 val_rocauc=0.77827 val_adapt_rocauc=0.78340 adapt_steps=2.53 halt=0.42 train_steps=2.00 +ep100 val_rocauc=0.77925 val_adapt_rocauc=0.78691 adapt_steps=2.50 halt=0.43 train_steps=1.93 +[ogbg-moltox21_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=40 val={'rocauc': 0.7839946999002233} test={'rocauc': 0.723701343716436} adaptive={'rocauc': 0.724166086603444} steps=4.32780612244898 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=pna compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view pna --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep10 val_rocauc=0.66669 val_adapt_rocauc=0.66243 adapt_steps=7.30 halt=0.29 train_steps=3.00 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep20 val_rocauc=0.69019 val_adapt_rocauc=0.67918 adapt_steps=5.84 halt=0.30 train_steps=2.85 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep30 val_rocauc=0.70422 val_adapt_rocauc=0.69523 adapt_steps=4.71 halt=0.28 train_steps=3.13 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep40 val_rocauc=0.71722 val_adapt_rocauc=0.71965 adapt_steps=2.52 halt=0.29 train_steps=2.95 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep50 val_rocauc=0.70706 val_adapt_rocauc=0.70996 adapt_steps=6.01 halt=0.30 train_steps=2.87 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep60 val_rocauc=0.73991 val_adapt_rocauc=0.74273 adapt_steps=4.85 halt=0.29 train_steps=2.98 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep70 val_rocauc=0.72423 val_adapt_rocauc=0.73134 adapt_steps=2.85 halt=0.31 train_steps=2.81 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep80 val_rocauc=0.75108 val_adapt_rocauc=0.74780 adapt_steps=4.23 halt=0.30 train_steps=2.91 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep90 val_rocauc=0.76247 val_adapt_rocauc=0.75804 adapt_steps=3.94 halt=0.32 train_steps=2.79 +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='min')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +/orion/u/oscarwan/rrog-gnn-runner/.venv/lib/python3.13/site-packages/torch_geometric/utils/_scatter.py:91: UserWarning: The usage of `scatter(reduce='max')` can be accelerated via the 'torch-scatter' package, but it was not found + warnings.warn( +ep100 val_rocauc=0.75859 val_adapt_rocauc=0.75525 adapt_steps=3.88 halt=0.31 train_steps=2.83 +[ogbg-moltox21_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=90 val={'rocauc': 0.7624732674125697} test={'rocauc': 0.7137965144412185} adaptive={'rocauc': 0.7200143809038219} steps=4.058673469387755 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=gen compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view gen --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.65402 val_adapt_rocauc=0.65164 adapt_steps=3.07 halt=0.28 train_steps=2.91 +ep20 val_rocauc=0.67375 val_adapt_rocauc=0.66200 adapt_steps=3.13 halt=0.27 train_steps=3.10 +ep30 val_rocauc=0.70573 val_adapt_rocauc=0.70756 adapt_steps=3.81 halt=0.28 train_steps=3.02 +ep40 val_rocauc=0.73605 val_adapt_rocauc=0.74012 adapt_steps=3.52 halt=0.27 train_steps=3.16 +ep50 val_rocauc=0.71987 val_adapt_rocauc=0.73228 adapt_steps=3.73 halt=0.28 train_steps=3.07 +ep60 val_rocauc=0.74139 val_adapt_rocauc=0.73571 adapt_steps=3.62 halt=0.29 train_steps=3.01 +ep70 val_rocauc=0.74691 val_adapt_rocauc=0.74235 adapt_steps=3.40 halt=0.29 train_steps=3.05 +ep80 val_rocauc=0.75480 val_adapt_rocauc=0.76023 adapt_steps=3.50 halt=0.30 train_steps=2.97 +ep90 val_rocauc=0.75153 val_adapt_rocauc=0.75746 adapt_steps=3.76 halt=0.30 train_steps=2.96 +ep100 val_rocauc=0.75081 val_adapt_rocauc=0.76030 adapt_steps=3.70 halt=0.31 train_steps=2.86 +[ogbg-moltox21_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.7548045767051833} test={'rocauc': 0.7300226043604717} adaptive={'rocauc': 0.7365872982320871} steps=3.433673469387755 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=film compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view film --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.57757 val_adapt_rocauc=0.58541 adapt_steps=3.29 halt=0.31 train_steps=2.50 +ep20 val_rocauc=0.55966 val_adapt_rocauc=0.57096 adapt_steps=4.07 halt=0.28 train_steps=2.95 +ep30 val_rocauc=0.67643 val_adapt_rocauc=0.69130 adapt_steps=3.16 halt=0.28 train_steps=3.07 +ep40 val_rocauc=0.69186 val_adapt_rocauc=0.69814 adapt_steps=4.81 halt=0.28 train_steps=3.08 +ep50 val_rocauc=0.65619 val_adapt_rocauc=0.67613 adapt_steps=3.51 halt=0.27 train_steps=3.19 +ep60 val_rocauc=0.70395 val_adapt_rocauc=0.71660 adapt_steps=3.19 halt=0.31 train_steps=2.93 +ep70 val_rocauc=0.72848 val_adapt_rocauc=0.73235 adapt_steps=3.83 halt=0.31 train_steps=2.87 +ep80 val_rocauc=0.74847 val_adapt_rocauc=0.75433 adapt_steps=4.28 halt=0.30 train_steps=3.00 +ep90 val_rocauc=0.74854 val_adapt_rocauc=0.75584 adapt_steps=3.98 halt=0.32 train_steps=2.89 +ep100 val_rocauc=0.75129 val_adapt_rocauc=0.75550 adapt_steps=3.77 halt=0.32 train_steps=2.83 +[ogbg-moltox21_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.7512888457712221} test={'rocauc': 0.6885051838242511} adaptive={'rocauc': 0.6897262581951776} steps=3.55484693877551 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=resgated compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view resgated --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.69369 val_adapt_rocauc=0.68651 adapt_steps=3.85 halt=0.28 train_steps=3.03 +ep20 val_rocauc=0.73254 val_adapt_rocauc=0.71275 adapt_steps=5.04 halt=0.27 train_steps=3.19 +ep30 val_rocauc=0.70299 val_adapt_rocauc=0.70576 adapt_steps=3.07 halt=0.31 train_steps=2.80 +ep40 val_rocauc=0.76163 val_adapt_rocauc=0.76283 adapt_steps=4.54 halt=0.30 train_steps=2.90 +ep50 val_rocauc=0.75392 val_adapt_rocauc=0.75554 adapt_steps=4.28 halt=0.32 train_steps=2.71 +ep60 val_rocauc=0.77327 val_adapt_rocauc=0.77823 adapt_steps=3.05 halt=0.35 train_steps=2.49 +ep70 val_rocauc=0.77098 val_adapt_rocauc=0.77495 adapt_steps=3.01 halt=0.37 train_steps=2.37 +ep80 val_rocauc=0.77372 val_adapt_rocauc=0.78024 adapt_steps=2.81 halt=0.39 train_steps=2.26 +ep90 val_rocauc=0.77062 val_adapt_rocauc=0.77479 adapt_steps=2.66 halt=0.41 train_steps=2.11 +ep100 val_rocauc=0.76956 val_adapt_rocauc=0.77366 adapt_steps=2.72 halt=0.41 train_steps=2.10 +[ogbg-moltox21_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.7737227459288354} test={'rocauc': 0.7454181481867773} adaptive={'rocauc': 0.7448724120402496} steps=2.7767857142857144 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=tag compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view tag --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.65152 val_adapt_rocauc=0.63598 adapt_steps=5.82 halt=0.28 train_steps=3.00 +ep20 val_rocauc=0.71815 val_adapt_rocauc=0.71620 adapt_steps=3.05 halt=0.28 train_steps=3.03 +ep30 val_rocauc=0.72675 val_adapt_rocauc=0.72953 adapt_steps=5.25 halt=0.30 train_steps=2.85 +ep40 val_rocauc=0.70713 val_adapt_rocauc=0.71988 adapt_steps=4.60 halt=0.30 train_steps=2.87 +ep50 val_rocauc=0.73557 val_adapt_rocauc=0.74105 adapt_steps=3.83 halt=0.31 train_steps=2.81 +ep60 val_rocauc=0.75468 val_adapt_rocauc=0.76648 adapt_steps=3.73 halt=0.31 train_steps=2.88 +ep70 val_rocauc=0.77518 val_adapt_rocauc=0.77338 adapt_steps=3.67 halt=0.33 train_steps=2.67 +ep80 val_rocauc=0.77918 val_adapt_rocauc=0.78370 adapt_steps=3.28 halt=0.35 train_steps=2.52 +ep90 val_rocauc=0.77746 val_adapt_rocauc=0.77301 adapt_steps=3.44 halt=0.36 train_steps=2.46 +ep100 val_rocauc=0.77192 val_adapt_rocauc=0.76945 adapt_steps=3.25 halt=0.36 train_steps=2.43 +[ogbg-moltox21_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=80 val={'rocauc': 0.7791811026208421} test={'rocauc': 0.7194750067722034} adaptive={'rocauc': 0.7225403729796881} steps=3.318877551020408 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=sgc compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view sgc --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.58511 val_adapt_rocauc=0.58665 adapt_steps=2.96 halt=0.29 train_steps=2.97 +ep20 val_rocauc=0.72203 val_adapt_rocauc=0.68935 adapt_steps=3.69 halt=0.29 train_steps=2.92 +ep30 val_rocauc=0.74058 val_adapt_rocauc=0.74146 adapt_steps=4.68 halt=0.28 train_steps=3.06 +ep40 val_rocauc=0.74632 val_adapt_rocauc=0.74580 adapt_steps=4.82 halt=0.29 train_steps=3.01 +ep50 val_rocauc=0.72977 val_adapt_rocauc=0.73373 adapt_steps=3.75 halt=0.31 train_steps=2.89 +ep60 val_rocauc=0.74202 val_adapt_rocauc=0.74441 adapt_steps=3.87 halt=0.32 train_steps=2.77 +ep70 val_rocauc=0.76058 val_adapt_rocauc=0.75527 adapt_steps=3.41 halt=0.34 train_steps=2.64 +ep80 val_rocauc=0.76323 val_adapt_rocauc=0.76205 adapt_steps=3.39 halt=0.36 train_steps=2.47 +ep90 val_rocauc=0.76418 val_adapt_rocauc=0.76382 adapt_steps=3.20 halt=0.37 train_steps=2.39 +ep100 val_rocauc=0.76686 val_adapt_rocauc=0.76364 adapt_steps=3.21 halt=0.36 train_steps=2.44 +[ogbg-moltox21_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=100 val={'rocauc': 0.7668620788836082} test={'rocauc': 0.7261733029463184} adaptive={'rocauc': 0.7330710041428746} steps=3.260204081632653 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=cheb compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view cheb --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.71726 val_adapt_rocauc=0.71158 adapt_steps=2.69 halt=0.30 train_steps=2.93 +ep20 val_rocauc=0.74514 val_adapt_rocauc=0.74244 adapt_steps=3.13 halt=0.29 train_steps=2.94 +ep30 val_rocauc=0.74745 val_adapt_rocauc=0.74514 adapt_steps=4.27 halt=0.31 train_steps=2.82 +ep40 val_rocauc=0.75855 val_adapt_rocauc=0.75693 adapt_steps=3.17 halt=0.32 train_steps=2.71 +ep50 val_rocauc=0.77450 val_adapt_rocauc=0.77541 adapt_steps=3.24 halt=0.35 train_steps=2.52 +ep60 val_rocauc=0.78240 val_adapt_rocauc=0.78798 adapt_steps=2.92 halt=0.38 train_steps=2.30 +ep70 val_rocauc=0.77174 val_adapt_rocauc=0.78493 adapt_steps=2.44 halt=0.42 train_steps=1.98 +ep80 val_rocauc=0.76722 val_adapt_rocauc=0.78035 adapt_steps=2.14 halt=0.45 train_steps=1.75 +ep90 val_rocauc=0.76854 val_adapt_rocauc=0.78215 adapt_steps=2.12 halt=0.47 train_steps=1.67 +ep100 val_rocauc=0.77046 val_adapt_rocauc=0.78353 adapt_steps=2.12 halt=0.46 train_steps=1.67 +[ogbg-moltox21_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=60 val={'rocauc': 0.7823963460925124} test={'rocauc': 0.7195427399764524} adaptive={'rocauc': 0.7202976536434207} steps=3.014030612244898 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=arma compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view arma --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.63590 val_adapt_rocauc=0.63888 adapt_steps=2.72 halt=0.29 train_steps=2.91 +ep20 val_rocauc=0.71067 val_adapt_rocauc=0.70324 adapt_steps=4.82 halt=0.30 train_steps=2.86 +ep30 val_rocauc=0.75699 val_adapt_rocauc=0.76269 adapt_steps=4.94 halt=0.29 train_steps=2.96 +ep40 val_rocauc=0.75283 val_adapt_rocauc=0.76066 adapt_steps=2.89 halt=0.31 train_steps=2.87 +ep50 val_rocauc=0.74882 val_adapt_rocauc=0.75319 adapt_steps=2.96 halt=0.32 train_steps=2.76 +ep60 val_rocauc=0.74867 val_adapt_rocauc=0.75550 adapt_steps=2.58 halt=0.34 train_steps=2.61 +ep70 val_rocauc=0.75749 val_adapt_rocauc=0.77569 adapt_steps=2.86 halt=0.38 train_steps=2.31 +ep80 val_rocauc=0.73534 val_adapt_rocauc=0.77063 adapt_steps=2.44 halt=0.40 train_steps=2.10 +ep90 val_rocauc=0.74163 val_adapt_rocauc=0.77322 adapt_steps=2.37 halt=0.41 train_steps=2.04 +ep100 val_rocauc=0.74596 val_adapt_rocauc=0.77377 adapt_steps=2.39 halt=0.42 train_steps=1.95 +[ogbg-moltox21_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.7574890736647663} test={'rocauc': 0.7161943072626955} adaptive={'rocauc': 0.7237147258339075} steps=2.868622448979592 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=mf compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view mf --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.68103 val_adapt_rocauc=0.67327 adapt_steps=6.68 halt=0.28 train_steps=3.06 +ep20 val_rocauc=0.71526 val_adapt_rocauc=0.70565 adapt_steps=3.58 halt=0.27 train_steps=3.17 +ep30 val_rocauc=0.73936 val_adapt_rocauc=0.73882 adapt_steps=4.88 halt=0.30 train_steps=2.92 +ep40 val_rocauc=0.68475 val_adapt_rocauc=0.69545 adapt_steps=3.09 halt=0.32 train_steps=2.71 +ep50 val_rocauc=0.72737 val_adapt_rocauc=0.73189 adapt_steps=3.75 halt=0.33 train_steps=2.71 +ep60 val_rocauc=0.76486 val_adapt_rocauc=0.77034 adapt_steps=3.49 halt=0.35 train_steps=2.53 +ep70 val_rocauc=0.76555 val_adapt_rocauc=0.77366 adapt_steps=2.97 halt=0.37 train_steps=2.39 +ep80 val_rocauc=0.76124 val_adapt_rocauc=0.77200 adapt_steps=2.91 halt=0.40 train_steps=2.18 +ep90 val_rocauc=0.75552 val_adapt_rocauc=0.76936 adapt_steps=2.66 halt=0.40 train_steps=2.13 +ep100 val_rocauc=0.75477 val_adapt_rocauc=0.76857 adapt_steps=2.64 halt=0.42 train_steps=2.02 +[ogbg-moltox21_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=70 val={'rocauc': 0.76555289309204} test={'rocauc': 0.7235855082035453} adaptive={'rocauc': 0.7314152133751847} steps=2.9566326530612246 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json +[run] ogbg-moltox21 view=appnp compute=rrog-act mode=stream T=1 ns=3 seed=0 device=cuda:1 +python3 rrog/train_ogb_graphprop.py --dataset ogbg-moltox21 --view appnp --compute rrog-act --T 1 --n_sup 3 --hidden 128 --bs 128 --epochs 100 --eval_every 10 --agg_layers 5 --compute_layers 2 --seed 0 --lam_q 0.1 --halt_max_steps 8 --halt_min_steps 2 --halt_target loss --halt_loss_threshold 0.2 --halt_exploration_prob 0.1 --act_train_mode stream --q_warmup_epochs 0 --device cuda:1 --num_workers 0 +ep10 val_rocauc=0.66956 val_adapt_rocauc=0.68596 adapt_steps=2.92 halt=0.30 train_steps=2.86 +ep20 val_rocauc=0.66741 val_adapt_rocauc=0.68976 adapt_steps=2.90 halt=0.31 train_steps=2.80 +ep30 val_rocauc=0.69725 val_adapt_rocauc=0.69142 adapt_steps=3.11 halt=0.33 train_steps=2.66 +ep40 val_rocauc=0.70858 val_adapt_rocauc=0.72396 adapt_steps=3.15 halt=0.36 train_steps=2.47 +ep50 val_rocauc=0.71714 val_adapt_rocauc=0.73276 adapt_steps=2.59 halt=0.39 train_steps=2.24 +ep60 val_rocauc=0.70738 val_adapt_rocauc=0.72373 adapt_steps=2.53 halt=0.42 train_steps=1.95 +ep70 val_rocauc=0.69595 val_adapt_rocauc=0.71924 adapt_steps=2.25 halt=0.43 train_steps=1.93 +ep80 val_rocauc=0.70875 val_adapt_rocauc=0.72985 adapt_steps=2.16 halt=0.44 train_steps=1.86 +ep90 val_rocauc=0.70758 val_adapt_rocauc=0.72805 adapt_steps=2.16 halt=0.44 train_steps=1.82 +ep100 val_rocauc=0.70806 val_adapt_rocauc=0.72668 adapt_steps=2.16 halt=0.44 train_steps=1.83 +[ogbg-moltox21_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0] best_ep=50 val={'rocauc': 0.7171412864790295} test={'rocauc': 0.7196990667216929} adaptive={'rocauc': 0.7331958989125181} steps=2.586734693877551 + wrote /orion/u/oscarwan/rrog-gnn-runner/runs/ogbg-moltox21_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json diff --git a/runs/ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5dbddc8 --- /dev/null +++ b/runs/ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 38.3, + "dev": "cuda:0", + "ep": 20, + "val": { + "rocauc": 0.6835164835164835 + }, + "val_adaptive": { + "rocauc": 0.6549450549450551 + }, + "test": { + "rocauc": 0.7118761954442705 + }, + "test_adaptive": { + "rocauc": 0.7328290732046601 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.357615894039735, + "fixed_steps": 8.0, + "adaptive_steps": 2.1315789473684212 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..ae5bc4f --- /dev/null +++ b/runs/ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 36.3, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.7355311355311356 + }, + "val_adaptive": { + "rocauc": 0.7347985347985347 + }, + "test": { + "rocauc": 0.7450878108155102 + }, + "test_adaptive": { + "rocauc": 0.7645626847504782 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.71523178807947, + "fixed_steps": 8.0, + "adaptive_steps": 4.375 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..62ad993 --- /dev/null +++ b/runs/ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 37.2, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.7164835164835166 + }, + "val_adaptive": { + "rocauc": 0.7380952380952381 + }, + "test": { + "rocauc": 0.8007303077725613 + }, + "test_adaptive": { + "rocauc": 0.8120326899669622 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.8675496688741724, + "fixed_steps": 8.0, + "adaptive_steps": 2.598684210526316 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..2187ffa --- /dev/null +++ b/runs/ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 35.3, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.6467032967032967 + }, + "val_adaptive": { + "rocauc": 0.6472527472527473 + }, + "test": { + "rocauc": 0.6802295252999478 + }, + "test_adaptive": { + "rocauc": 0.6732742131803164 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 6.139072847682119, + "fixed_steps": 8.0, + "adaptive_steps": 5.256578947368421 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..9f3dced --- /dev/null +++ b/runs/ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 45.8, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.7131868131868132 + }, + "val_adaptive": { + "rocauc": 0.7197802197802198 + }, + "test": { + "rocauc": 0.8261171970092158 + }, + "test_adaptive": { + "rocauc": 0.8262910798122065 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.52317880794702, + "fixed_steps": 8.0, + "adaptive_steps": 4.006578947368421 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..992eef2 --- /dev/null +++ b/runs/ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.9, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.7201465201465201 + }, + "val_adaptive": { + "rocauc": 0.7021978021978023 + }, + "test": { + "rocauc": 0.7483915840723353 + }, + "test_adaptive": { + "rocauc": 0.7450878108155105 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.28476821192053, + "fixed_steps": 8.0, + "adaptive_steps": 3.960526315789474 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..fb8deeb --- /dev/null +++ b/runs/ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 35.7, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.6534798534798535 + }, + "val_adaptive": { + "rocauc": 0.6428571428571429 + }, + "test": { + "rocauc": 0.6915319074943488 + }, + "test_adaptive": { + "rocauc": 0.6788384628760215 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.450331125827814, + "fixed_steps": 8.0, + "adaptive_steps": 3.9802631578947367 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..e194917 --- /dev/null +++ b/runs/ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.3, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.6802197802197802 + }, + "val_adaptive": { + "rocauc": 0.6652014652014652 + }, + "test": { + "rocauc": 0.723526343244653 + }, + "test_adaptive": { + "rocauc": 0.721961398017736 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.397350993377484, + "fixed_steps": 8.0, + "adaptive_steps": 3.473684210526316 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..76f621a --- /dev/null +++ b/runs/ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.3, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.6824175824175824 + }, + "val_adaptive": { + "rocauc": 0.6978021978021979 + }, + "test": { + "rocauc": 0.7718657624760911 + }, + "test_adaptive": { + "rocauc": 0.7697791688402017 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.980132450331126, + "fixed_steps": 8.0, + "adaptive_steps": 3.1710526315789473 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5023a02 --- /dev/null +++ b/runs/ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 31.4, + "dev": "cuda:0", + "ep": 30, + "val": { + "rocauc": 0.6908424908424909 + }, + "val_adaptive": { + "rocauc": 0.6923076923076923 + }, + "test": { + "rocauc": 0.7475221700573813 + }, + "test_adaptive": { + "rocauc": 0.7638671535385151 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 5.887417218543046, + "fixed_steps": 8.0, + "adaptive_steps": 4.276315789473684 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b99cda3 --- /dev/null +++ b/runs/ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 31.9, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.7091575091575092 + }, + "val_adaptive": { + "rocauc": 0.715018315018315 + }, + "test": { + "rocauc": 0.7821248478525474 + }, + "test_adaptive": { + "rocauc": 0.7909928708050773 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.543046357615894, + "fixed_steps": 8.0, + "adaptive_steps": 3.75 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..7913df0 --- /dev/null +++ b/runs/ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 56.2, + "dev": "cuda:0", + "ep": 30, + "val": { + "rocauc": 0.7747252747252747 + }, + "val_adaptive": { + "rocauc": 0.7472527472527473 + }, + "test": { + "rocauc": 0.8019474873934969 + }, + "test_adaptive": { + "rocauc": 0.7949921752738653 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 5.026490066225166, + "fixed_steps": 8.0, + "adaptive_steps": 4.980263157894737 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..639257f --- /dev/null +++ b/runs/ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 44.7, + "dev": "cuda:0", + "ep": 20, + "val": { + "rocauc": 0.7095238095238096 + }, + "val_adaptive": { + "rocauc": 0.5846153846153846 + }, + "test": { + "rocauc": 0.7809076682316118 + }, + "test_adaptive": { + "rocauc": 0.7337854286211093 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.556291390728477, + "fixed_steps": 8.0, + "adaptive_steps": 3.914473684210526 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..53dcf92 --- /dev/null +++ b/runs/ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 36.1, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.7395604395604396 + }, + "val_adaptive": { + "rocauc": 0.7293040293040294 + }, + "test": { + "rocauc": 0.7313510693792384 + }, + "test_adaptive": { + "rocauc": 0.7617805599026256 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.139072847682119, + "fixed_steps": 8.0, + "adaptive_steps": 3.388157894736842 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..67e5a89 --- /dev/null +++ b/runs/ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.9, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.6615384615384615 + }, + "val_adaptive": { + "rocauc": 0.6641025641025642 + }, + "test": { + "rocauc": 0.7970787689097547 + }, + "test_adaptive": { + "rocauc": 0.7988175969396626 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.966887417218543, + "fixed_steps": 8.0, + "adaptive_steps": 3.638157894736842 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..851014a --- /dev/null +++ b/runs/ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 38.5, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.7084249084249085 + }, + "val_adaptive": { + "rocauc": 0.6970695970695971 + }, + "test": { + "rocauc": 0.7960354720918101 + }, + "test_adaptive": { + "rocauc": 0.7776038949747869 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.9735099337748343, + "fixed_steps": 8.0, + "adaptive_steps": 2.5526315789473686 +}
\ No newline at end of file diff --git a/runs/ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1d80a20 --- /dev/null +++ b/runs/ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbace", + "tag": "ogbg-molbace_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 41.7, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.6534798534798535 + }, + "val_adaptive": { + "rocauc": 0.6538461538461539 + }, + "test": { + "rocauc": 0.7191792731698834 + }, + "test_adaptive": { + "rocauc": 0.729264475743349 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.357615894039735, + "fixed_steps": 8.0, + "adaptive_steps": 2.710526315789474 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b46a244 --- /dev/null +++ b/runs/ogbg-molbbbp_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 48.8, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.9066016130638256 + }, + "val_adaptive": { + "rocauc": 0.9337847256795779 + }, + "test": { + "rocauc": 0.5573881172839507 + }, + "test_adaptive": { + "rocauc": 0.6225887345679013 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.0, + "fixed_steps": 8.0, + "adaptive_steps": 2.014705882352941 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..fe7120a --- /dev/null +++ b/runs/ogbg-molbbbp_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 52.3, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.9404560390321618 + }, + "val_adaptive": { + "rocauc": 0.9375684556407449 + }, + "test": { + "rocauc": 0.6411072530864197 + }, + "test_adaptive": { + "rocauc": 0.636766975308642 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.0245098039215685, + "fixed_steps": 8.0, + "adaptive_steps": 2.1519607843137254 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..ae93dcd --- /dev/null +++ b/runs/ogbg-molbbbp_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 48.9, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.9496166484118291 + }, + "val_adaptive": { + "rocauc": 0.9449367718809121 + }, + "test": { + "rocauc": 0.6182484567901234 + }, + "test_adaptive": { + "rocauc": 0.611014660493827 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.0294117647058822, + "fixed_steps": 8.0, + "adaptive_steps": 2.1666666666666665 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..f3e24ce --- /dev/null +++ b/runs/ogbg-molbbbp_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 46.4, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.9392611769391616 + }, + "val_adaptive": { + "rocauc": 0.9483222144777457 + }, + "test": { + "rocauc": 0.5584490740740741 + }, + "test_adaptive": { + "rocauc": 0.5745563271604939 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.696078431372549, + "fixed_steps": 8.0, + "adaptive_steps": 3.2058823529411766 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b485203 --- /dev/null +++ b/runs/ogbg-molbbbp_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 55.0, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.9302997112416609 + }, + "val_adaptive": { + "rocauc": 0.9165587971721598 + }, + "test": { + "rocauc": 0.6648341049382716 + }, + "test_adaptive": { + "rocauc": 0.6627121913580247 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1029411764705883, + "fixed_steps": 8.0, + "adaptive_steps": 2.1372549019607843 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..bd80655 --- /dev/null +++ b/runs/ogbg-molbbbp_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 42.2, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.9528029473264961 + }, + "val_adaptive": { + "rocauc": 0.9538982375784127 + }, + "test": { + "rocauc": 0.6794945987654321 + }, + "test_adaptive": { + "rocauc": 0.6629050925925926 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1715686274509802, + "fixed_steps": 8.0, + "adaptive_steps": 2.269607843137255 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..098535e --- /dev/null +++ b/runs/ogbg-molbbbp_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 45.4, + "dev": "cuda:0", + "ep": 30, + "val": { + "rocauc": 0.925121975505327 + }, + "val_adaptive": { + "rocauc": 0.9211391018619934 + }, + "test": { + "rocauc": 0.6313657407407408 + }, + "test_adaptive": { + "rocauc": 0.6291473765432098 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.622549019607843, + "fixed_steps": 8.0, + "adaptive_steps": 3.7892156862745097 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1c17af9 --- /dev/null +++ b/runs/ogbg-molbbbp_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 44.8, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.92044209897441 + }, + "val_adaptive": { + "rocauc": 0.9314945733346609 + }, + "test": { + "rocauc": 0.6527777777777778 + }, + "test_adaptive": { + "rocauc": 0.65258487654321 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.1323529411764706, + "fixed_steps": 8.0, + "adaptive_steps": 4.872549019607843 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5a7c602 --- /dev/null +++ b/runs/ogbg-molbbbp_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 45.5, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.9205416708154933 + }, + "val_adaptive": { + "rocauc": 0.912277208005576 + }, + "test": { + "rocauc": 0.591820987654321 + }, + "test_adaptive": { + "rocauc": 0.5948109567901234 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.573529411764706, + "fixed_steps": 8.0, + "adaptive_steps": 2.9166666666666665 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..6e2f49d --- /dev/null +++ b/runs/ogbg-molbbbp_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 40.5, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.9234292542069104 + }, + "val_adaptive": { + "rocauc": 0.9375684556407448 + }, + "test": { + "rocauc": 0.6602044753086419 + }, + "test_adaptive": { + "rocauc": 0.6875 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2058823529411766, + "fixed_steps": 8.0, + "adaptive_steps": 2.7941176470588234 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a0534f9 --- /dev/null +++ b/runs/ogbg-molbbbp_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 42.0, + "dev": "cuda:0", + "ep": 10, + "val": { + "rocauc": 0.9406551827143284 + }, + "val_adaptive": { + "rocauc": 0.9543960967838296 + }, + "test": { + "rocauc": 0.6039737654320988 + }, + "test_adaptive": { + "rocauc": 0.6147762345679012 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5441176470588234, + "fixed_steps": 8.0, + "adaptive_steps": 2.5686274509803924 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..f221069 --- /dev/null +++ b/runs/ogbg-molbbbp_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 76.6, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.936771880912078 + }, + "val_adaptive": { + "rocauc": 0.9453350592452454 + }, + "test": { + "rocauc": 0.662133487654321 + }, + "test_adaptive": { + "rocauc": 0.667824074074074 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.6862745098039214, + "fixed_steps": 8.0, + "adaptive_steps": 3.5441176470588234 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a9791f9 --- /dev/null +++ b/runs/ogbg-molbbbp_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 62.0, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.9500149357761626 + }, + "val_adaptive": { + "rocauc": 0.9505127949815791 + }, + "test": { + "rocauc": 0.6172839506172839 + }, + "test_adaptive": { + "rocauc": 0.6179591049382716 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.6715686274509802, + "fixed_steps": 8.0, + "adaptive_steps": 4.686274509803922 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..197b41e --- /dev/null +++ b/runs/ogbg-molbbbp_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 46.9, + "dev": "cuda:0", + "ep": 30, + "val": { + "rocauc": 0.9132729264164094 + }, + "val_adaptive": { + "rocauc": 0.9309967141292442 + }, + "test": { + "rocauc": 0.5753279320987655 + }, + "test_adaptive": { + "rocauc": 0.5887345679012346 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.6323529411764706, + "fixed_steps": 8.0, + "adaptive_steps": 3.593137254901961 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..c0fc97d --- /dev/null +++ b/runs/ogbg-molbbbp_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 43.2, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.947525639749079 + }, + "val_adaptive": { + "rocauc": 0.9579806830628299 + }, + "test": { + "rocauc": 0.6593364197530864 + }, + "test_adaptive": { + "rocauc": 0.6675347222222222 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.073529411764706, + "fixed_steps": 8.0, + "adaptive_steps": 2.2549019607843137 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..c20a688 --- /dev/null +++ b/runs/ogbg-molbbbp_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 49.7, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.9496166484118291 + }, + "val_adaptive": { + "rocauc": 0.9541969531016629 + }, + "test": { + "rocauc": 0.6579861111111112 + }, + "test_adaptive": { + "rocauc": 0.6550925925925926 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2549019607843137, + "fixed_steps": 8.0, + "adaptive_steps": 2.6176470588235294 +}
\ No newline at end of file diff --git a/runs/ogbg-molbbbp_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molbbbp_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..4016f9f --- /dev/null +++ b/runs/ogbg-molbbbp_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molbbbp", + "tag": "ogbg-molbbbp_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 54.8, + "dev": "cuda:0", + "ep": 90, + "val": { + "rocauc": 0.9397590361445782 + }, + "val_adaptive": { + "rocauc": 0.9337847256795778 + }, + "test": { + "rocauc": 0.642554012345679 + }, + "test_adaptive": { + "rocauc": 0.6309799382716049 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1323529411764706, + "fixed_steps": 8.0, + "adaptive_steps": 2.2254901960784315 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..fbc1d3b --- /dev/null +++ b/runs/ogbg-molclintox_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 36.2, + "dev": "cuda:1", + "ep": 60, + "val": { + "rocauc": 0.9156406973308382 + }, + "val_adaptive": { + "rocauc": 0.9228938901474113 + }, + "test": { + "rocauc": 0.7779932575678588 + }, + "test_adaptive": { + "rocauc": 0.886122406422688 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1621621621621623, + "fixed_steps": 8.0, + "adaptive_steps": 2.1621621621621623 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..22fa6a2 --- /dev/null +++ b/runs/ogbg-molclintox_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 36.6, + "dev": "cuda:1", + "ep": 30, + "val": { + "rocauc": 0.942323287041597 + }, + "val_adaptive": { + "rocauc": 0.9228060671722643 + }, + "test": { + "rocauc": 0.8458372432488792 + }, + "test_adaptive": { + "rocauc": 0.8651226844611268 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.831081081081081, + "fixed_steps": 8.0, + "adaptive_steps": 2.722972972972973 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..93e0496 --- /dev/null +++ b/runs/ogbg-molclintox_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 36.3, + "dev": "cuda:1", + "ep": 40, + "val": { + "rocauc": 0.9172116615778587 + }, + "val_adaptive": { + "rocauc": 0.9370415969007518 + }, + "test": { + "rocauc": 0.906584297779168 + }, + "test_adaptive": { + "rocauc": 0.9058335939943698 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.25, + "fixed_steps": 8.0, + "adaptive_steps": 2.97972972972973 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..6777e2e --- /dev/null +++ b/runs/ogbg-molclintox_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 33.2, + "dev": "cuda:1", + "ep": 10, + "val": { + "rocauc": 0.8531673725335697 + }, + "val_adaptive": { + "rocauc": 0.8860451754817951 + }, + "test": { + "rocauc": 0.8229512042539882 + }, + "test_adaptive": { + "rocauc": 0.8409142251416258 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.385135135135135, + "fixed_steps": 8.0, + "adaptive_steps": 3.5675675675675675 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..673fe03 --- /dev/null +++ b/runs/ogbg-molclintox_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 43.6, + "dev": "cuda:1", + "ep": 100, + "val": { + "rocauc": 0.9506763189861781 + }, + "val_adaptive": { + "rocauc": 0.956720509537411 + }, + "test": { + "rocauc": 0.8617905675459633 + }, + "test_adaptive": { + "rocauc": 0.834407256803253 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2837837837837838, + "fixed_steps": 8.0, + "adaptive_steps": 2.3378378378378377 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..011ded7 --- /dev/null +++ b/runs/ogbg-molclintox_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 32.0, + "dev": "cuda:1", + "ep": 90, + "val": { + "rocauc": 0.9460307298335469 + }, + "val_adaptive": { + "rocauc": 0.943858957943465 + }, + "test": { + "rocauc": 0.8712221527126125 + }, + "test_adaptive": { + "rocauc": 0.8801906301046121 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1621621621621623, + "fixed_steps": 8.0, + "adaptive_steps": 2.2027027027027026 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..2a4d418 --- /dev/null +++ b/runs/ogbg-molclintox_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 34.1, + "dev": "cuda:1", + "ep": 80, + "val": { + "rocauc": 0.962652253849437 + }, + "val_adaptive": { + "rocauc": 0.9578942184575987 + }, + "test": { + "rocauc": 0.7993926597852152 + }, + "test_adaptive": { + "rocauc": 0.8024780175859313 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.3716216216216215, + "fixed_steps": 8.0, + "adaptive_steps": 2.52027027027027 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..9a23f3d --- /dev/null +++ b/runs/ogbg-molclintox_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 33.1, + "dev": "cuda:1", + "ep": 60, + "val": { + "rocauc": 0.9599674972914409 + }, + "val_adaptive": { + "rocauc": 0.9615909911684559 + }, + "test": { + "rocauc": 0.8033521009279533 + }, + "test_adaptive": { + "rocauc": 0.8111476036562055 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2432432432432434, + "fixed_steps": 8.0, + "adaptive_steps": 2.7094594594594597 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a0e4e2a --- /dev/null +++ b/runs/ogbg-molclintox_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 33.1, + "dev": "cuda:1", + "ep": 80, + "val": { + "rocauc": 0.9456195213237466 + }, + "val_adaptive": { + "rocauc": 0.9196715256574411 + }, + "test": { + "rocauc": 0.9048100649914852 + }, + "test_adaptive": { + "rocauc": 0.9068831891008932 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2162162162162162, + "fixed_steps": 8.0, + "adaptive_steps": 2.2972972972972974 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..f19044a --- /dev/null +++ b/runs/ogbg-molclintox_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 30.4, + "dev": "cuda:1", + "ep": 70, + "val": { + "rocauc": 0.9574583866837387 + }, + "val_adaptive": { + "rocauc": 0.9313733215141666 + }, + "test": { + "rocauc": 0.881274111145866 + }, + "test_adaptive": { + "rocauc": 0.8484968546901609 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2837837837837838, + "fixed_steps": 8.0, + "adaptive_steps": 2.4121621621621623 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..dbcc610 --- /dev/null +++ b/runs/ogbg-molclintox_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 31.5, + "dev": "cuda:1", + "ep": 60, + "val": { + "rocauc": 0.9516390886109196 + }, + "val_adaptive": { + "rocauc": 0.9448955973603861 + }, + "test": { + "rocauc": 0.88216296527995 + }, + "test_adaptive": { + "rocauc": 0.8780280123727106 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5067567567567566, + "fixed_steps": 8.0, + "adaptive_steps": 2.4324324324324325 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..9b5ba68 --- /dev/null +++ b/runs/ogbg-molclintox_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 52.8, + "dev": "cuda:1", + "ep": 70, + "val": { + "rocauc": 0.9416239863422963 + }, + "val_adaptive": { + "rocauc": 0.9153386519583703 + }, + "test": { + "rocauc": 0.852654398220554 + }, + "test_adaptive": { + "rocauc": 0.8698067632850242 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1554054054054053, + "fixed_steps": 8.0, + "adaptive_steps": 2.5675675675675675 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..86c137d --- /dev/null +++ b/runs/ogbg-molclintox_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 43.0, + "dev": "cuda:1", + "ep": 40, + "val": { + "rocauc": 0.874143110410716 + }, + "val_adaptive": { + "rocauc": 0.8983059194326799 + }, + "test": { + "rocauc": 0.8539203419872797 + }, + "test_adaptive": { + "rocauc": 0.8613908872901679 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5337837837837838, + "fixed_steps": 8.0, + "adaptive_steps": 3.675675675675676 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..dd54b34 --- /dev/null +++ b/runs/ogbg-molclintox_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 33.7, + "dev": "cuda:1", + "ep": 40, + "val": { + "rocauc": 0.957693949243245 + }, + "val_adaptive": { + "rocauc": 0.9453946288453331 + }, + "test": { + "rocauc": 0.8777291210509853 + }, + "test_adaptive": { + "rocauc": 0.8950795885031105 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1554054054054053, + "fixed_steps": 8.0, + "adaptive_steps": 2.2567567567567566 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..360e0bc --- /dev/null +++ b/runs/ogbg-molclintox_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 32.9, + "dev": "cuda:1", + "ep": 80, + "val": { + "rocauc": 0.9152647821661906 + }, + "val_adaptive": { + "rocauc": 0.8952731540759709 + }, + "test": { + "rocauc": 0.8882589580509506 + }, + "test_adaptive": { + "rocauc": 0.8904589371980676 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.310810810810811, + "fixed_steps": 8.0, + "adaptive_steps": 2.25 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b488b39 --- /dev/null +++ b/runs/ogbg-molclintox_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 35.5, + "dev": "cuda:1", + "ep": 30, + "val": { + "rocauc": 0.9001050592599888 + }, + "val_adaptive": { + "rocauc": 0.8796882694770018 + }, + "test": { + "rocauc": 0.8008871163938415 + }, + "test_adaptive": { + "rocauc": 0.8083576616967296 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.47972972972973, + "fixed_steps": 8.0, + "adaptive_steps": 2.5945945945945947 +}
\ No newline at end of file diff --git a/runs/ogbg-molclintox_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molclintox_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..4389deb --- /dev/null +++ b/runs/ogbg-molclintox_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molclintox", + "tag": "ogbg-molclintox_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 41.0, + "dev": "cuda:1", + "ep": 30, + "val": { + "rocauc": 0.8521414031977412 + }, + "val_adaptive": { + "rocauc": 0.8862561147772415 + }, + "test": { + "rocauc": 0.7332707746846001 + }, + "test_adaptive": { + "rocauc": 0.7908464532721649 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.310810810810811, + "fixed_steps": 8.0, + "adaptive_steps": 3.2567567567567566 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..0885895 --- /dev/null +++ b/runs/ogbg-molesol_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 26.7, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 1.6270278692245483 + }, + "val_adaptive": { + "rmse": 1.2530083656311035 + }, + "test": { + "rmse": 1.2973164319992065 + }, + "test_adaptive": { + "rmse": 1.0733075141906738 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.743362831858407, + "fixed_steps": 8.0, + "adaptive_steps": 2.814159292035398 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..818213d --- /dev/null +++ b/runs/ogbg-molesol_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 26.9, + "dev": "cuda:1", + "ep": 50, + "val": { + "rmse": 1.3099640607833862 + }, + "val_adaptive": { + "rmse": 1.0777862071990967 + }, + "test": { + "rmse": 1.5309946537017822 + }, + "test_adaptive": { + "rmse": 1.038582682609558 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.4867256637168142, + "fixed_steps": 8.0, + "adaptive_steps": 2.575221238938053 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..826de97 --- /dev/null +++ b/runs/ogbg-molesol_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 26.8, + "dev": "cuda:1", + "ep": 80, + "val": { + "rmse": 1.0643402338027954 + }, + "val_adaptive": { + "rmse": 0.918844997882843 + }, + "test": { + "rmse": 1.0342040061950684 + }, + "test_adaptive": { + "rmse": 0.8497806787490845 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.424778761061947, + "fixed_steps": 8.0, + "adaptive_steps": 2.601769911504425 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5af1876 --- /dev/null +++ b/runs/ogbg-molesol_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 24.9, + "dev": "cuda:1", + "ep": 80, + "val": { + "rmse": 1.3673769235610962 + }, + "val_adaptive": { + "rmse": 1.275072455406189 + }, + "test": { + "rmse": 1.3647929430007935 + }, + "test_adaptive": { + "rmse": 1.128640055656433 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.0, + "fixed_steps": 8.0, + "adaptive_steps": 3.6106194690265485 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..896ce8b --- /dev/null +++ b/runs/ogbg-molesol_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 30.2, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 0.9842343926429749 + }, + "val_adaptive": { + "rmse": 0.9415140748023987 + }, + "test": { + "rmse": 0.9534291625022888 + }, + "test_adaptive": { + "rmse": 0.8805939555168152 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5929203539823007, + "fixed_steps": 8.0, + "adaptive_steps": 2.4867256637168142 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..37245f5 --- /dev/null +++ b/runs/ogbg-molesol_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 23.8, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 1.0293915271759033 + }, + "val_adaptive": { + "rmse": 0.8799248337745667 + }, + "test": { + "rmse": 1.2572919130325317 + }, + "test_adaptive": { + "rmse": 0.9221709370613098 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.7876106194690267, + "fixed_steps": 8.0, + "adaptive_steps": 2.7168141592920354 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..610ce8f --- /dev/null +++ b/runs/ogbg-molesol_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 25.3, + "dev": "cuda:1", + "ep": 60, + "val": { + "rmse": 1.1622369289398193 + }, + "val_adaptive": { + "rmse": 1.0015885829925537 + }, + "test": { + "rmse": 1.4459298849105835 + }, + "test_adaptive": { + "rmse": 1.0918991565704346 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.690265486725664, + "fixed_steps": 8.0, + "adaptive_steps": 2.6106194690265485 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..12913d5 --- /dev/null +++ b/runs/ogbg-molesol_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 29.9, + "dev": "cuda:1", + "ep": 80, + "val": { + "rmse": 1.4046697616577148 + }, + "val_adaptive": { + "rmse": 0.9466085433959961 + }, + "test": { + "rmse": 2.065119504928589 + }, + "test_adaptive": { + "rmse": 0.9663381576538086 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.8849557522123894, + "fixed_steps": 8.0, + "adaptive_steps": 2.982300884955752 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..6ea7888 --- /dev/null +++ b/runs/ogbg-molesol_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 23.3, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 1.3110343217849731 + }, + "val_adaptive": { + "rmse": 1.0165117979049683 + }, + "test": { + "rmse": 2.039428472518921 + }, + "test_adaptive": { + "rmse": 1.099277138710022 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5132743362831858, + "fixed_steps": 8.0, + "adaptive_steps": 2.8849557522123894 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..e0dd2ba --- /dev/null +++ b/runs/ogbg-molesol_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 22.9, + "dev": "cuda:1", + "ep": 80, + "val": { + "rmse": 1.148048996925354 + }, + "val_adaptive": { + "rmse": 1.0027403831481934 + }, + "test": { + "rmse": 1.2080546617507935 + }, + "test_adaptive": { + "rmse": 1.0046480894088745 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.150442477876106, + "fixed_steps": 8.0, + "adaptive_steps": 2.743362831858407 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..eb74c8c --- /dev/null +++ b/runs/ogbg-molesol_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 23.8, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 1.1587085723876953 + }, + "val_adaptive": { + "rmse": 0.9203268885612488 + }, + "test": { + "rmse": 1.3228503465652466 + }, + "test_adaptive": { + "rmse": 0.9323515295982361 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.4070796460176993, + "fixed_steps": 8.0, + "adaptive_steps": 2.398230088495575 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..05d9465 --- /dev/null +++ b/runs/ogbg-molesol_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 39.1, + "dev": "cuda:1", + "ep": 60, + "val": { + "rmse": 1.0765037536621094 + }, + "val_adaptive": { + "rmse": 1.0629757642745972 + }, + "test": { + "rmse": 1.0843762159347534 + }, + "test_adaptive": { + "rmse": 0.9588797688484192 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.690265486725664, + "fixed_steps": 8.0, + "adaptive_steps": 3.4070796460176993 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a4f70e0 --- /dev/null +++ b/runs/ogbg-molesol_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 32.0, + "dev": "cuda:1", + "ep": 80, + "val": { + "rmse": 1.280998706817627 + }, + "val_adaptive": { + "rmse": 1.0270553827285767 + }, + "test": { + "rmse": 1.4175682067871094 + }, + "test_adaptive": { + "rmse": 0.9829455614089966 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.4601769911504423, + "fixed_steps": 8.0, + "adaptive_steps": 2.601769911504425 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..27c5012 --- /dev/null +++ b/runs/ogbg-molesol_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 25.8, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 1.093890905380249 + }, + "val_adaptive": { + "rmse": 0.9799346327781677 + }, + "test": { + "rmse": 1.0833443403244019 + }, + "test_adaptive": { + "rmse": 0.9181241989135742 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.274336283185841, + "fixed_steps": 8.0, + "adaptive_steps": 3.230088495575221 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..868b5df --- /dev/null +++ b/runs/ogbg-molesol_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 23.9, + "dev": "cuda:1", + "ep": 60, + "val": { + "rmse": 1.0345253944396973 + }, + "val_adaptive": { + "rmse": 1.0311837196350098 + }, + "test": { + "rmse": 1.0465621948242188 + }, + "test_adaptive": { + "rmse": 0.9780674576759338 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.4070796460176993, + "fixed_steps": 8.0, + "adaptive_steps": 3.2831858407079646 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..0e155a1 --- /dev/null +++ b/runs/ogbg-molesol_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 25.9, + "dev": "cuda:1", + "ep": 100, + "val": { + "rmse": 1.0871219635009766 + }, + "val_adaptive": { + "rmse": 0.9639987349510193 + }, + "test": { + "rmse": 1.2508167028427124 + }, + "test_adaptive": { + "rmse": 1.01895010471344 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.3893805309734515, + "fixed_steps": 8.0, + "adaptive_steps": 2.353982300884956 +}
\ No newline at end of file diff --git a/runs/ogbg-molesol_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molesol_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1c215f6 --- /dev/null +++ b/runs/ogbg-molesol_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molesol", + "tag": "ogbg-molesol_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 28.3, + "dev": "cuda:1", + "ep": 40, + "val": { + "rmse": 1.066428780555725 + }, + "val_adaptive": { + "rmse": 1.0112154483795166 + }, + "test": { + "rmse": 0.9533939361572266 + }, + "test_adaptive": { + "rmse": 0.8505216836929321 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.185840707964602, + "fixed_steps": 8.0, + "adaptive_steps": 2.2831858407079646 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..8fdd38b --- /dev/null +++ b/runs/ogbg-molhiv_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1126.6, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.7378778414658045 + }, + "val_adaptive": { + "rocauc": 0.7123046492259455 + }, + "test": { + "rocauc": 0.6883099325981575 + }, + "test_adaptive": { + "rocauc": 0.7290619749319223 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.098468271334792, + "fixed_steps": 8.0, + "adaptive_steps": 2.102358375881352 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b541793 --- /dev/null +++ b/runs/ogbg-molhiv_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1181.9, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.7861153978052127 + }, + "val_adaptive": { + "rocauc": 0.765070791691162 + }, + "test": { + "rocauc": 0.7306939106587612 + }, + "test_adaptive": { + "rocauc": 0.7378782904266208 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.0566496474592753, + "fixed_steps": 8.0, + "adaptive_steps": 2.085825431558473 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1ef9c3e --- /dev/null +++ b/runs/ogbg-molhiv_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1117.5, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.7825329463060945 + }, + "val_adaptive": { + "rocauc": 0.7969699196551049 + }, + "test": { + "rocauc": 0.7205932907163135 + }, + "test_adaptive": { + "rocauc": 0.7218775951640628 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2144420131291027, + "fixed_steps": 8.0, + "adaptive_steps": 2.2939460247994163 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..8c45ebb --- /dev/null +++ b/runs/ogbg-molhiv_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1076.0, + "dev": "cuda:0", + "ep": 90, + "val": { + "rocauc": 0.8150199637468156 + }, + "val_adaptive": { + "rocauc": 0.8101515040172447 + }, + "test": { + "rocauc": 0.7415303501419496 + }, + "test_adaptive": { + "rocauc": 0.7291546766063463 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.137855579868709, + "fixed_steps": 8.0, + "adaptive_steps": 2.2144420131291027 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..cfc5f77 --- /dev/null +++ b/runs/ogbg-molhiv_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1245.0, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.7722111992945326 + }, + "val_adaptive": { + "rocauc": 0.7736227464236723 + }, + "test": { + "rocauc": 0.7005330346279379 + }, + "test_adaptive": { + "rocauc": 0.7209988605419185 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.102358375881352, + "fixed_steps": 8.0, + "adaptive_steps": 2.161196207148067 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..12d5541 --- /dev/null +++ b/runs/ogbg-molhiv_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 926.0, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.76521164021164 + }, + "val_adaptive": { + "rocauc": 0.7598471487360376 + }, + "test": { + "rocauc": 0.7279630738330211 + }, + "test_adaptive": { + "rocauc": 0.7195040460418316 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.0923899829807926, + "fixed_steps": 8.0, + "adaptive_steps": 2.1412594213469487 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..3cadcd3 --- /dev/null +++ b/runs/ogbg-molhiv_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1088.2, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.769011488340192 + }, + "val_adaptive": { + "rocauc": 0.7765683176562805 + }, + "test": { + "rocauc": 0.7434075590490352 + }, + "test_adaptive": { + "rocauc": 0.7426736707931786 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1043034281546316, + "fixed_steps": 8.0, + "adaptive_steps": 2.178215414539266 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..6456e52 --- /dev/null +++ b/runs/ogbg-molhiv_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 938.6, + "dev": "cuda:0", + "ep": 90, + "val": { + "rocauc": 0.7622844405251813 + }, + "val_adaptive": { + "rocauc": 0.7816266166960611 + }, + "test": { + "rocauc": 0.728463276617934 + }, + "test_adaptive": { + "rocauc": 0.7414685490256668 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.111597374179431, + "fixed_steps": 8.0, + "adaptive_steps": 2.1835643082907854 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b9f1b79 --- /dev/null +++ b/runs/ogbg-molhiv_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 953.5, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.7427218058005095 + }, + "val_adaptive": { + "rocauc": 0.7543601802861062 + }, + "test": { + "rocauc": 0.7216728789663763 + }, + "test_adaptive": { + "rocauc": 0.7219567778442999 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1692195477753464, + "fixed_steps": 8.0, + "adaptive_steps": 2.1913445173839046 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..fe8fbdd --- /dev/null +++ b/runs/ogbg-molhiv_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 896.5, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.7790944052518126 + }, + "val_adaptive": { + "rocauc": 0.7738033999608073 + }, + "test": { + "rocauc": 0.7510651036134339 + }, + "test_adaptive": { + "rocauc": 0.7493443287819387 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2103087770483834, + "fixed_steps": 8.0, + "adaptive_steps": 2.2287867736445417 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..44b1b4e --- /dev/null +++ b/runs/ogbg-molhiv_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 898.2, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.7724224720752498 + }, + "val_adaptive": { + "rocauc": 0.7656556192435822 + }, + "test": { + "rocauc": 0.7540721141775624 + }, + "test_adaptive": { + "rocauc": 0.7493028061569362 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1356673960612693, + "fixed_steps": 8.0, + "adaptive_steps": 2.225382932166302 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..996bd57 --- /dev/null +++ b/runs/ogbg-molhiv_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1677.8, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.8046522878698804 + }, + "val_adaptive": { + "rocauc": 0.7827258475406624 + }, + "test": { + "rocauc": 0.7416423646652118 + }, + "test_adaptive": { + "rocauc": 0.7333127329612392 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.146851446632628, + "fixed_steps": 8.0, + "adaptive_steps": 2.1964502796012644 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..6c7fb03 --- /dev/null +++ b/runs/ogbg-molhiv_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1400.2, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.7487599206349206 + }, + "val_adaptive": { + "rocauc": 0.7203820056829315 + }, + "test": { + "rocauc": 0.6730373317368046 + }, + "test_adaptive": { + "rocauc": 0.6877382722725429 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.034038414782397, + "fixed_steps": 8.0, + "adaptive_steps": 2.0588378312667155 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..52afe84 --- /dev/null +++ b/runs/ogbg-molhiv_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1059.4, + "dev": "cuda:0", + "ep": 40, + "val": { + "rocauc": 0.8030723349010386 + }, + "val_adaptive": { + "rocauc": 0.7952827993337253 + }, + "test": { + "rocauc": 0.7502983835145524 + }, + "test_adaptive": { + "rocauc": 0.7566658297765504 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.099927060539752, + "fixed_steps": 8.0, + "adaptive_steps": 2.2205203014831025 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..f332c6f --- /dev/null +++ b/runs/ogbg-molhiv_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1011.3, + "dev": "cuda:0", + "ep": 50, + "val": { + "rocauc": 0.7352782676856752 + }, + "val_adaptive": { + "rocauc": 0.7147756221830296 + }, + "test": { + "rocauc": 0.6961702620753587 + }, + "test_adaptive": { + "rocauc": 0.7016995306977732 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.088743009968393, + "fixed_steps": 8.0, + "adaptive_steps": 2.0795040116703136 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5a4ca43 --- /dev/null +++ b/runs/ogbg-molhiv_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1109.5, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.7567852243778168 + }, + "val_adaptive": { + "rocauc": 0.7644706545169508 + }, + "test": { + "rocauc": 0.7480619556190734 + }, + "test_adaptive": { + "rocauc": 0.7477104617702157 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.138098711402869, + "fixed_steps": 8.0, + "adaptive_steps": 2.225869195234622 +}
\ No newline at end of file diff --git a/runs/ogbg-molhiv_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molhiv_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a054aac --- /dev/null +++ b/runs/ogbg-molhiv_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molhiv", + "tag": "ogbg-molhiv_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 1172.8, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.7813418577307466 + }, + "val_adaptive": { + "rocauc": 0.7825329463060944 + }, + "test": { + "rocauc": 0.7294279534174086 + }, + "test_adaptive": { + "rocauc": 0.7396338283860252 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.1475808412351083, + "fixed_steps": 8.0, + "adaptive_steps": 2.215171407731583 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..2966335 --- /dev/null +++ b/runs/ogbg-mollipo_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 102.5, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 1.1389226913452148 + }, + "val_adaptive": { + "rmse": 0.8501057624816895 + }, + "test": { + "rmse": 1.0732718706130981 + }, + "test_adaptive": { + "rmse": 0.8331995606422424 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.3333333333333335, + "fixed_steps": 8.0, + "adaptive_steps": 2.2404761904761905 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..926cb7f --- /dev/null +++ b/runs/ogbg-mollipo_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 102.6, + "dev": "cuda:1", + "ep": 10, + "val": { + "rmse": 108.34754180908203 + }, + "val_adaptive": { + "rmse": 108.19417572021484 + }, + "test": { + "rmse": 1.5814603567123413 + }, + "test_adaptive": { + "rmse": 1.2714992761611938 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 6.180952380952381, + "fixed_steps": 8.0, + "adaptive_steps": 6.019047619047619 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..45d681b --- /dev/null +++ b/runs/ogbg-mollipo_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 101.8, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 0.7458768486976624 + }, + "val_adaptive": { + "rmse": 0.7055894136428833 + }, + "test": { + "rmse": 0.8054617643356323 + }, + "test_adaptive": { + "rmse": 0.7404536604881287 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.0476190476190474, + "fixed_steps": 8.0, + "adaptive_steps": 2.033333333333333 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..9388427 --- /dev/null +++ b/runs/ogbg-mollipo_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 95.0, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 0.9863712787628174 + }, + "val_adaptive": { + "rmse": 0.8663719296455383 + }, + "test": { + "rmse": 0.9712099432945251 + }, + "test_adaptive": { + "rmse": 0.834499180316925 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.2738095238095237, + "fixed_steps": 8.0, + "adaptive_steps": 3.211904761904762 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a77b001 --- /dev/null +++ b/runs/ogbg-mollipo_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 120.6, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 0.8837260603904724 + }, + "val_adaptive": { + "rmse": 0.7446271181106567 + }, + "test": { + "rmse": 0.9250612854957581 + }, + "test_adaptive": { + "rmse": 0.7935744524002075 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.4, + "fixed_steps": 8.0, + "adaptive_steps": 2.2928571428571427 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..9a246e2 --- /dev/null +++ b/runs/ogbg-mollipo_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 93.3, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 0.9103560447692871 + }, + "val_adaptive": { + "rmse": 0.7345834970474243 + }, + "test": { + "rmse": 0.9299253225326538 + }, + "test_adaptive": { + "rmse": 0.8009624481201172 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.566666666666667, + "fixed_steps": 8.0, + "adaptive_steps": 2.4785714285714286 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..995ad42 --- /dev/null +++ b/runs/ogbg-mollipo_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 98.0, + "dev": "cuda:1", + "ep": 30, + "val": { + "rmse": 0.9299842715263367 + }, + "val_adaptive": { + "rmse": 0.9338786602020264 + }, + "test": { + "rmse": 0.9385538101196289 + }, + "test_adaptive": { + "rmse": 0.9375044107437134 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.366666666666666, + "fixed_steps": 8.0, + "adaptive_steps": 4.252380952380952 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1b9fab2 --- /dev/null +++ b/runs/ogbg-mollipo_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 90.2, + "dev": "cuda:1", + "ep": 100, + "val": { + "rmse": 0.8872742652893066 + }, + "val_adaptive": { + "rmse": 0.7704845070838928 + }, + "test": { + "rmse": 1.0246026515960693 + }, + "test_adaptive": { + "rmse": 0.8618570566177368 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.7214285714285715, + "fixed_steps": 8.0, + "adaptive_steps": 2.5404761904761903 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..ac12e4d --- /dev/null +++ b/runs/ogbg-mollipo_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 92.7, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 0.8773280382156372 + }, + "val_adaptive": { + "rmse": 0.750048041343689 + }, + "test": { + "rmse": 0.9709947109222412 + }, + "test_adaptive": { + "rmse": 0.8221004605293274 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5023809523809524, + "fixed_steps": 8.0, + "adaptive_steps": 2.395238095238095 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..a7f11fb --- /dev/null +++ b/runs/ogbg-mollipo_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 87.3, + "dev": "cuda:1", + "ep": 100, + "val": { + "rmse": 0.9623555541038513 + }, + "val_adaptive": { + "rmse": 0.7365044355392456 + }, + "test": { + "rmse": 0.9985842704772949 + }, + "test_adaptive": { + "rmse": 0.7662481665611267 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.2, + "fixed_steps": 8.0, + "adaptive_steps": 2.123809523809524 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..41d7bdf --- /dev/null +++ b/runs/ogbg-mollipo_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 89.0, + "dev": "cuda:1", + "ep": 10, + "val": { + "rmse": 1.0741798877716064 + }, + "val_adaptive": { + "rmse": 0.9657984375953674 + }, + "test": { + "rmse": 1.1165450811386108 + }, + "test_adaptive": { + "rmse": 0.9747765064239502 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 5.630952380952381, + "fixed_steps": 8.0, + "adaptive_steps": 5.461904761904762 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..057addc --- /dev/null +++ b/runs/ogbg-mollipo_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 148.1, + "dev": "cuda:1", + "ep": 20, + "val": { + "rmse": 1.005599021911621 + }, + "val_adaptive": { + "rmse": 0.9785529971122742 + }, + "test": { + "rmse": 0.9820316433906555 + }, + "test_adaptive": { + "rmse": 0.9414123892784119 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.330952380952381, + "fixed_steps": 8.0, + "adaptive_steps": 4.321428571428571 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..d6ee79c --- /dev/null +++ b/runs/ogbg-mollipo_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 119.6, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 0.914740264415741 + }, + "val_adaptive": { + "rmse": 0.8654114603996277 + }, + "test": { + "rmse": 0.9266903400421143 + }, + "test_adaptive": { + "rmse": 0.8750127553939819 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.819047619047619, + "fixed_steps": 8.0, + "adaptive_steps": 4.614285714285714 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..63ca690 --- /dev/null +++ b/runs/ogbg-mollipo_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 98.4, + "dev": "cuda:1", + "ep": 100, + "val": { + "rmse": 0.8307315111160278 + }, + "val_adaptive": { + "rmse": 0.6797361373901367 + }, + "test": { + "rmse": 0.882472038269043 + }, + "test_adaptive": { + "rmse": 0.7250288128852844 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.15, + "fixed_steps": 8.0, + "adaptive_steps": 2.1166666666666667 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..3480ed6 --- /dev/null +++ b/runs/ogbg-mollipo_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 91.7, + "dev": "cuda:1", + "ep": 80, + "val": { + "rmse": 0.9196410775184631 + }, + "val_adaptive": { + "rmse": 0.754634439945221 + }, + "test": { + "rmse": 1.0144816637039185 + }, + "test_adaptive": { + "rmse": 0.8478080630302429 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.4571428571428573, + "fixed_steps": 8.0, + "adaptive_steps": 2.3452380952380953 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..58ef508 --- /dev/null +++ b/runs/ogbg-mollipo_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 99.7, + "dev": "cuda:1", + "ep": 90, + "val": { + "rmse": 0.8615076541900635 + }, + "val_adaptive": { + "rmse": 0.7453644275665283 + }, + "test": { + "rmse": 0.9196054935455322 + }, + "test_adaptive": { + "rmse": 0.8038428425788879 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.4285714285714284, + "fixed_steps": 8.0, + "adaptive_steps": 2.35 +}
\ No newline at end of file diff --git a/runs/ogbg-mollipo_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-mollipo_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..68661c7 --- /dev/null +++ b/runs/ogbg-mollipo_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-mollipo", + "tag": "ogbg-mollipo_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rmse", + "sec": 120.0, + "dev": "cuda:1", + "ep": 70, + "val": { + "rmse": 0.8665701150894165 + }, + "val_adaptive": { + "rmse": 0.7386842966079712 + }, + "test": { + "rmse": 0.892951488494873 + }, + "test_adaptive": { + "rmse": 0.7886161804199219 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.388095238095238, + "fixed_steps": 8.0, + "adaptive_steps": 2.316666666666667 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..9ade287 --- /dev/null +++ b/runs/ogbg-molsider_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.0, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.58009596629467 + }, + "val_adaptive": { + "rocauc": 0.5742882792923651 + }, + "test": { + "rocauc": 0.6009364115000575 + }, + "test_adaptive": { + "rocauc": 0.5959003553252203 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.181818181818182, + "fixed_steps": 8.0, + "adaptive_steps": 7.27972027972028 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..d17eca1 --- /dev/null +++ b/runs/ogbg-molsider_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.7, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.6604919913889579 + }, + "val_adaptive": { + "rocauc": 0.6602801296309839 + }, + "test": { + "rocauc": 0.5589855993934405 + }, + "test_adaptive": { + "rocauc": 0.5580832949005652 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.93006993006993, + "fixed_steps": 8.0, + "adaptive_steps": 7.895104895104895 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..c6089dd --- /dev/null +++ b/runs/ogbg-molsider_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 30.5, + "dev": "cuda:0", + "ep": 90, + "val": { + "rocauc": 0.6409076943311921 + }, + "val_adaptive": { + "rocauc": 0.6415746496399081 + }, + "test": { + "rocauc": 0.6149744329414113 + }, + "test_adaptive": { + "rocauc": 0.6144652607315165 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.881118881118881, + "fixed_steps": 8.0, + "adaptive_steps": 7.8671328671328675 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..581bd15 --- /dev/null +++ b/runs/ogbg-molsider_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 31.0, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.5407876481859505 + }, + "val_adaptive": { + "rocauc": 0.5407876481859505 + }, + "test": { + "rocauc": 0.5825278400429263 + }, + "test_adaptive": { + "rocauc": 0.5825278400429263 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 8.0 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..e6631f1 --- /dev/null +++ b/runs/ogbg-molsider_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 39.2, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.5777678714357024 + }, + "val_adaptive": { + "rocauc": 0.5777678714357024 + }, + "test": { + "rocauc": 0.6337321824820535 + }, + "test_adaptive": { + "rocauc": 0.6339582691134998 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 7.958041958041958 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..2fb3f9d --- /dev/null +++ b/runs/ogbg-molsider_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 28.7, + "dev": "cuda:0", + "ep": 90, + "val": { + "rocauc": 0.634553246023819 + }, + "val_adaptive": { + "rocauc": 0.6346375313343606 + }, + "test": { + "rocauc": 0.6445134528927392 + }, + "test_adaptive": { + "rocauc": 0.644509359822436 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.979020979020979, + "fixed_steps": 8.0, + "adaptive_steps": 7.93006993006993 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..ca6ed4d --- /dev/null +++ b/runs/ogbg-molsider_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 30.8, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.6114344272964439 + }, + "val_adaptive": { + "rocauc": 0.6114344272964439 + }, + "test": { + "rocauc": 0.6071293608886619 + }, + "test_adaptive": { + "rocauc": 0.6071293608886619 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 8.0 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..997d805 --- /dev/null +++ b/runs/ogbg-molsider_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 29.7, + "dev": "cuda:0", + "ep": 70, + "val": { + "rocauc": 0.5941723817458207 + }, + "val_adaptive": { + "rocauc": 0.5941723817458207 + }, + "test": { + "rocauc": 0.5949106211087469 + }, + "test_adaptive": { + "rocauc": 0.5949106211087469 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 8.0 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..916957b --- /dev/null +++ b/runs/ogbg-molsider_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 29.6, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.6117392254931898 + }, + "val_adaptive": { + "rocauc": 0.6117392254931898 + }, + "test": { + "rocauc": 0.6143023355631505 + }, + "test_adaptive": { + "rocauc": 0.6147815453760646 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 7.958041958041958 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..7ef209d --- /dev/null +++ b/runs/ogbg-molsider_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 28.2, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.6139745501285409 + }, + "val_adaptive": { + "rocauc": 0.6130151408852765 + }, + "test": { + "rocauc": 0.6068834635828694 + }, + "test_adaptive": { + "rocauc": 0.6064255172013142 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.965034965034965, + "fixed_steps": 8.0, + "adaptive_steps": 7.916083916083916 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..d25e223 --- /dev/null +++ b/runs/ogbg-molsider_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 28.5, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.6149561902831908 + }, + "val_adaptive": { + "rocauc": 0.6146122799151246 + }, + "test": { + "rocauc": 0.6082036653138152 + }, + "test_adaptive": { + "rocauc": 0.6072637395395359 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.965034965034965, + "fixed_steps": 8.0, + "adaptive_steps": 7.923076923076923 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..b283c1b --- /dev/null +++ b/runs/ogbg-molsider_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 50.2, + "dev": "cuda:0", + "ep": 80, + "val": { + "rocauc": 0.630007512812611 + }, + "val_adaptive": { + "rocauc": 0.6292030327805646 + }, + "test": { + "rocauc": 0.5843445908586726 + }, + "test_adaptive": { + "rocauc": 0.5856297203566897 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.958041958041958, + "fixed_steps": 8.0, + "adaptive_steps": 7.8671328671328675 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..780196c --- /dev/null +++ b/runs/ogbg-molsider_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 40.1, + "dev": "cuda:0", + "ep": 60, + "val": { + "rocauc": 0.5810212759423172 + }, + "val_adaptive": { + "rocauc": 0.5810212759423172 + }, + "test": { + "rocauc": 0.5397701280540309 + }, + "test_adaptive": { + "rocauc": 0.5397701280540309 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 8.0 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..abb91ed --- /dev/null +++ b/runs/ogbg-molsider_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 33.3, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.609727680398977 + }, + "val_adaptive": { + "rocauc": 0.6097204004899107 + }, + "test": { + "rocauc": 0.6245839801623748 + }, + "test_adaptive": { + "rocauc": 0.624652550767547 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.965034965034965, + "fixed_steps": 8.0, + "adaptive_steps": 7.951048951048951 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5d4ff80 --- /dev/null +++ b/runs/ogbg-molsider_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 28.8, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.5865936638036943 + }, + "val_adaptive": { + "rocauc": 0.5867267792720899 + }, + "test": { + "rocauc": 0.624583829207758 + }, + "test_adaptive": { + "rocauc": 0.6241791163198843 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 7.909090909090909, + "fixed_steps": 8.0, + "adaptive_steps": 7.881118881118881 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..49d5a4e --- /dev/null +++ b/runs/ogbg-molsider_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 31.0, + "dev": "cuda:0", + "ep": 90, + "val": { + "rocauc": 0.6329113613630306 + }, + "val_adaptive": { + "rocauc": 0.6329113613630306 + }, + "test": { + "rocauc": 0.6060675375955825 + }, + "test_adaptive": { + "rocauc": 0.6066839663477379 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 7.909090909090909 +}
\ No newline at end of file diff --git a/runs/ogbg-molsider_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-molsider_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..dde9320 --- /dev/null +++ b/runs/ogbg-molsider_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-molsider", + "tag": "ogbg-molsider_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:0", + "metric": "rocauc", + "sec": 34.8, + "dev": "cuda:0", + "ep": 100, + "val": { + "rocauc": 0.6287543036419472 + }, + "val_adaptive": { + "rocauc": 0.6287543036419472 + }, + "test": { + "rocauc": 0.621503855814713 + }, + "test_adaptive": { + "rocauc": 0.6212391169096168 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 8.0, + "fixed_steps": 8.0, + "adaptive_steps": 7.951048951048951 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..0059379 --- /dev/null +++ b/runs/ogbg-moltox21_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_appnp_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "appnp", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 187.9, + "dev": "cuda:1", + "ep": 50, + "val": { + "rocauc": 0.7171412864790295 + }, + "val_adaptive": { + "rocauc": 0.7327556114043223 + }, + "test": { + "rocauc": 0.7196990667216929 + }, + "test_adaptive": { + "rocauc": 0.7331958989125181 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.5925925925925926, + "fixed_steps": 8.0, + "adaptive_steps": 2.586734693877551 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5724d7f --- /dev/null +++ b/runs/ogbg-moltox21_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_arma_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "arma", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 186.4, + "dev": "cuda:1", + "ep": 70, + "val": { + "rocauc": 0.7574890736647663 + }, + "val_adaptive": { + "rocauc": 0.775690305262 + }, + "test": { + "rocauc": 0.7161943072626955 + }, + "test_adaptive": { + "rocauc": 0.7237147258339075 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.859514687100894, + "fixed_steps": 8.0, + "adaptive_steps": 2.868622448979592 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..2e092fd --- /dev/null +++ b/runs/ogbg-moltox21_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_cheb_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "cheb", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 185.5, + "dev": "cuda:1", + "ep": 60, + "val": { + "rocauc": 0.7823963460925124 + }, + "val_adaptive": { + "rocauc": 0.7879834258076394 + }, + "test": { + "rocauc": 0.7195427399764524 + }, + "test_adaptive": { + "rocauc": 0.7202976536434207 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.9233716475095783, + "fixed_steps": 8.0, + "adaptive_steps": 3.014030612244898 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..689f7e9 --- /dev/null +++ b/runs/ogbg-moltox21_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_film_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "film", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 176.1, + "dev": "cuda:1", + "ep": 100, + "val": { + "rocauc": 0.7512888457712221 + }, + "val_adaptive": { + "rocauc": 0.7554952063699445 + }, + "test": { + "rocauc": 0.6885051838242511 + }, + "test_adaptive": { + "rocauc": 0.6897262581951776 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.7701149425287355, + "fixed_steps": 8.0, + "adaptive_steps": 3.55484693877551 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1cce6dc --- /dev/null +++ b/runs/ogbg-moltox21_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_gatv2_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gatv2", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 203.5, + "dev": "cuda:1", + "ep": 30, + "val": { + "rocauc": 0.767354951757618 + }, + "val_adaptive": { + "rocauc": 0.7642537921042755 + }, + "test": { + "rocauc": 0.7155377552729235 + }, + "test_adaptive": { + "rocauc": 0.7172144629316312 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.051085568326948, + "fixed_steps": 8.0, + "adaptive_steps": 4.042091836734694 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..29b4288 --- /dev/null +++ b/runs/ogbg-moltox21_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_gcn_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gcn", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 162.5, + "dev": "cuda:1", + "ep": 60, + "val": { + "rocauc": 0.7677478126932855 + }, + "val_adaptive": { + "rocauc": 0.7736865486612903 + }, + "test": { + "rocauc": 0.7135675459281269 + }, + "test_adaptive": { + "rocauc": 0.7247326710130202 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.111111111111111, + "fixed_steps": 8.0, + "adaptive_steps": 3.2589285714285716 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..5cbc62c --- /dev/null +++ b/runs/ogbg-moltox21_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_gen_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gen", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 178.7, + "dev": "cuda:1", + "ep": 80, + "val": { + "rocauc": 0.7548045767051833 + }, + "val_adaptive": { + "rocauc": 0.7602314361456579 + }, + "test": { + "rocauc": 0.7300226043604717 + }, + "test_adaptive": { + "rocauc": 0.7365872982320871 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.4980842911877397, + "fixed_steps": 8.0, + "adaptive_steps": 3.433673469387755 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..aead826 --- /dev/null +++ b/runs/ogbg-moltox21_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_gin_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gin", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 165.4, + "dev": "cuda:1", + "ep": 70, + "val": { + "rocauc": 0.763406691780224 + }, + "val_adaptive": { + "rocauc": 0.7610743280654823 + }, + "test": { + "rocauc": 0.7044116432874441 + }, + "test_adaptive": { + "rocauc": 0.7111955163056712 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.261813537675606, + "fixed_steps": 8.0, + "adaptive_steps": 4.165816326530612 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..31febfa --- /dev/null +++ b/runs/ogbg-moltox21_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_gine_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "gine", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 167.2, + "dev": "cuda:1", + "ep": 100, + "val": { + "rocauc": 0.7616493170582249 + }, + "val_adaptive": { + "rocauc": 0.7553437800330051 + }, + "test": { + "rocauc": 0.7120140634942237 + }, + "test_adaptive": { + "rocauc": 0.7177387150880706 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.040868454661558, + "fixed_steps": 8.0, + "adaptive_steps": 3.931122448979592 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..c4a5898 --- /dev/null +++ b/runs/ogbg-moltox21_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_graphconv_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphconv", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 154.5, + "dev": "cuda:1", + "ep": 50, + "val": { + "rocauc": 0.7640586359961631 + }, + "val_adaptive": { + "rocauc": 0.7663420116444204 + }, + "test": { + "rocauc": 0.721040156330531 + }, + "test_adaptive": { + "rocauc": 0.732265876016213 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.116219667943806, + "fixed_steps": 8.0, + "adaptive_steps": 4.089285714285714 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..ecf7fe3 --- /dev/null +++ b/runs/ogbg-moltox21_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_graphsage_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "graphsage", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 157.1, + "dev": "cuda:1", + "ep": 60, + "val": { + "rocauc": 0.7791810357079593 + }, + "val_adaptive": { + "rocauc": 0.7752032549288592 + }, + "test": { + "rocauc": 0.7217088253529022 + }, + "test_adaptive": { + "rocauc": 0.7282454305579198 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.289910600255428, + "fixed_steps": 8.0, + "adaptive_steps": 3.3903061224489797 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..6a5891d --- /dev/null +++ b/runs/ogbg-moltox21_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_mf_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "mf", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 268.8, + "dev": "cuda:1", + "ep": 70, + "val": { + "rocauc": 0.76555289309204 + }, + "val_adaptive": { + "rocauc": 0.773660744169849 + }, + "test": { + "rocauc": 0.7235855082035453 + }, + "test_adaptive": { + "rocauc": 0.7314152133751847 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.9693486590038316, + "fixed_steps": 8.0, + "adaptive_steps": 2.9566326530612246 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..617451b --- /dev/null +++ b/runs/ogbg-moltox21_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_pna_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "pna", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 225.3, + "dev": "cuda:1", + "ep": 90, + "val": { + "rocauc": 0.7624732674125697 + }, + "val_adaptive": { + "rocauc": 0.7580383954116433 + }, + "test": { + "rocauc": 0.7137965144412185 + }, + "test_adaptive": { + "rocauc": 0.7200143809038219 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.94125159642401, + "fixed_steps": 8.0, + "adaptive_steps": 4.058673469387755 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..0b95cc6 --- /dev/null +++ b/runs/ogbg-moltox21_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_resgated_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "resgated", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 182.4, + "dev": "cuda:1", + "ep": 80, + "val": { + "rocauc": 0.7737227459288354 + }, + "val_adaptive": { + "rocauc": 0.7802426119319206 + }, + "test": { + "rocauc": 0.7454181481867773 + }, + "test_adaptive": { + "rocauc": 0.7448724120402496 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 2.805874840357599, + "fixed_steps": 8.0, + "adaptive_steps": 2.7767857142857144 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..1fbd5a4 --- /dev/null +++ b/runs/ogbg-moltox21_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_sgc_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "sgc", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 167.6, + "dev": "cuda:1", + "ep": 100, + "val": { + "rocauc": 0.7668620788836082 + }, + "val_adaptive": { + "rocauc": 0.7636415510723298 + }, + "test": { + "rocauc": 0.7261733029463184 + }, + "test_adaptive": { + "rocauc": 0.7330710041428746 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.206896551724138, + "fixed_steps": 8.0, + "adaptive_steps": 3.260204081632653 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..7a13be9 --- /dev/null +++ b/runs/ogbg-moltox21_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_tag_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "tag", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 184.9, + "dev": "cuda:1", + "ep": 80, + "val": { + "rocauc": 0.7791811026208421 + }, + "val_adaptive": { + "rocauc": 0.783698445795415 + }, + "test": { + "rocauc": 0.7194750067722034 + }, + "test_adaptive": { + "rocauc": 0.7225403729796881 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 3.2835249042145596, + "fixed_steps": 8.0, + "adaptive_steps": 3.318877551020408 +}
\ No newline at end of file diff --git a/runs/ogbg-moltox21_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json b/runs/ogbg-moltox21_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json new file mode 100644 index 0000000..fd0a552 --- /dev/null +++ b/runs/ogbg-moltox21_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0.json @@ -0,0 +1,49 @@ +{ + "dataset": "ogbg-moltox21", + "tag": "ogbg-moltox21_transformer_rrog-act_T1_ns3_stream_hm8_hmin2_loss0.2_lq0.1_hex0.1_qw0_h128_e100_s0", + "view": "transformer", + "compute": "rrog-act", + "T": 1, + "n_sup": 3, + "hidden": 128, + "agg_layers": 5, + "compute_layers": 2, + "epochs": 100, + "eval_every": 10, + "lr": 0.001, + "bs": 128, + "lam_q": 0.1, + "halt_max_steps": 8, + "halt_min_steps": 2, + "halt_target": "loss", + "halt_loss_threshold": 0.2, + "halt_exploration_prob": 0.1, + "q_warmup_epochs": 0, + "act_train_mode": "stream", + "ema": 0.0, + "seed": 0, + "num_workers": 0, + "max_train_batches": 0, + "max_eval_batches": 0, + "device": "cuda:1", + "metric": "rocauc", + "sec": 191.2, + "dev": "cuda:1", + "ep": 40, + "val": { + "rocauc": 0.7839946999002233 + }, + "val_adaptive": { + "rocauc": 0.7907058937976815 + }, + "test": { + "rocauc": 0.723701343716436 + }, + "test_adaptive": { + "rocauc": 0.724166086603444 + }, + "fixed_val_steps": 8.0, + "adaptive_val_steps": 4.2005108556832695, + "fixed_steps": 8.0, + "adaptive_steps": 4.32780612244898 +}
\ No newline at end of file diff --git a/summaries/ogb_graphprop.md b/summaries/ogb_graphprop.md index f0c8c11..ff3e0ee 100644 --- a/summaries/ogb_graphprop.md +++ b/summaries/ogb_graphprop.md @@ -157,175 +157,311 @@ Classic baseline: task x backbone | ogbg-moltox21 | transformer | rocauc | 1 | 0.7656 +/- 0.0000 | 0.7309 +/- 0.0000 | Delta vs matching classic -| task | backbone | compute | metric | n | val score (delta) | test score (delta) | steps | -| --- | --- | --- | --- | --- | --- | --- | --- | -| ogbg-molbace | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7168 (0.0604) | 0.7209 (-0.0214) | | -| ogbg-molbace | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7179 (0.0256) | 0.7672 (-0.0167) | | -| ogbg-molbace | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7114 (-0.0154) | 0.7533 (-0.0436) | | -| ogbg-molbace | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6652 (-0.0051) | 0.7242 (0.0000) | | -| ogbg-molbace | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7026 (-0.0004) | 0.7519 (0.0118) | | -| ogbg-molbace | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6374 (-0.0007) | 0.7733 (0.0339) | | -| ogbg-molbace | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6894 (-0.0234) | 0.7449 (0.0123) | | -| ogbg-molbace | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6538 (0.0018) | 0.7169 (-0.0167) | | -| ogbg-molbace | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6685 (0.0044) | 0.6994 (-0.0461) | | -| ogbg-molbace | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7462 (0.0150) | 0.7983 (-0.0052) | | -| ogbg-molbace | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6703 (-0.0055) | 0.7119 (-0.0640) | | -| ogbg-molbace | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7234 (-0.0187) | 0.7684 (-0.0077) | | -| ogbg-molbace | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7037 (-0.0480) | 0.7967 (0.1055) | | -| ogbg-molbace | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6912 (-0.0260) | 0.7465 (-0.0412) | | -| ogbg-molbace | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6454 (-0.0121) | 0.7727 (0.0762) | | -| ogbg-molbace | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7355 (0.0271) | 0.6806 (-0.0539) | | -| ogbg-molbace | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6982 (0.0319) | 0.7487 (0.0123) | | -| ogbg-molbbbp | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9360 (0.0213) | 0.6073 (-0.0314) | | -| ogbg-molbbbp | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9415 (0.0048) | 0.6635 (-0.0016) | | -| ogbg-molbbbp | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9278 (-0.0174) | 0.6659 (0.0145) | | -| ogbg-molbbbp | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9400 (0.0115) | 0.6323 (0.0023) | | -| ogbg-molbbbp | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9356 (0.0009) | 0.6560 (0.0235) | | -| ogbg-molbbbp | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9417 (0.0031) | 0.6017 (-0.0663) | | -| ogbg-molbbbp | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9429 (-0.0119) | 0.6037 (-0.0738) | | -| ogbg-molbbbp | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9526 (0.0275) | 0.5932 (0.0261) | | -| ogbg-molbbbp | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9421 (0.0098) | 0.6976 (0.0816) | | -| ogbg-molbbbp | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9337 (0.0069) | 0.6518 (0.0618) | | -| ogbg-molbbbp | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9502 (0.0019) | 0.5934 (-0.0354) | | -| ogbg-molbbbp | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9488 (0.0094) | 0.6481 (0.0116) | | -| ogbg-molbbbp | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9585 (0.0031) | 0.6682 (0.0264) | | -| ogbg-molbbbp | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9535 (0.0352) | 0.5839 (-0.0787) | | -| ogbg-molbbbp | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9285 (-0.0015) | 0.6454 (0.0215) | | -| ogbg-molbbbp | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9459 (-0.0017) | 0.6420 (0.0320) | | -| ogbg-molbbbp | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9355 (-0.0140) | 0.6221 (0.0065) | | -| ogbg-molclintox | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9029 (0.0513) | 0.8898 (-0.0286) | | -| ogbg-molclintox | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9135 (-0.0328) | 0.8863 (0.0185) | | -| ogbg-molclintox | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.8816 (-0.0112) | 0.8982 (-0.0170) | | -| ogbg-molclintox | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9454 (0.0406) | 0.8430 (0.0699) | | -| ogbg-molclintox | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9351 (-0.0164) | 0.8328 (-0.0164) | | -| ogbg-molclintox | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9097 (-0.0221) | 0.8792 (-0.0140) | | -| ogbg-molclintox | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9399 (-0.0421) | 0.8194 (0.0066) | | -| ogbg-molclintox | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9164 (-0.0383) | 0.8788 (0.0202) | | -| ogbg-molclintox | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9225 (-0.0127) | 0.8840 (-0.0030) | | -| ogbg-molclintox | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.8494 (-0.0424) | 0.8186 (-0.0316) | | -| ogbg-molclintox | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9579 (0.0436) | 0.8664 (-0.0217) | | -| ogbg-molclintox | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9147 (-0.0104) | 0.8047 (-0.0323) | | -| ogbg-molclintox | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9064 (-0.0222) | 0.8735 (0.0132) | | -| ogbg-molclintox | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9055 (-0.0188) | 0.8979 (-0.0205) | | -| ogbg-molclintox | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9220 (0.0025) | 0.9054 (0.0068) | | -| ogbg-molclintox | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9183 (-0.0054) | 0.8433 (0.0435) | | -| ogbg-molclintox | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9322 (0.0051) | 0.8522 (-0.0242) | | -| ogbg-molesol | appnp | fixed-rrog-T1-ns3 | rmse | 1 | 1.4196 (0.1887) | 1.4929 (0.0284) | | -| ogbg-molesol | arma | fixed-rrog-T1-ns3 | rmse | 1 | 1.0034 (0.0160) | 1.1272 (-0.0606) | | -| ogbg-molesol | cheb | fixed-rrog-T1-ns3 | rmse | 1 | 0.9199 (0.0451) | 0.8841 (-0.0118) | | -| ogbg-molesol | film | fixed-rrog-T1-ns3 | rmse | 1 | 1.0196 (0.0521) | 1.0849 (0.2047) | | -| ogbg-molesol | gatv2 | fixed-rrog-T1-ns3 | rmse | 1 | 1.0018 (0.0350) | 0.9780 (0.0098) | | -| ogbg-molesol | gcn | fixed-rrog-T1-ns3 | rmse | 1 | 0.9591 (0.0818) | 0.9305 (0.1856) | | -| ogbg-molesol | gen | fixed-rrog-T1-ns3 | rmse | 1 | 1.0027 (0.0062) | 0.9206 (-0.0444) | | -| ogbg-molesol | gin | fixed-rrog-T1-ns3 | rmse | 1 | 0.9647 (0.0540) | 1.0798 (-0.0899) | | -| ogbg-molesol | gine | fixed-rrog-T1-ns3 | rmse | 1 | 1.0581 (-0.0295) | 1.0951 (-0.0144) | | -| ogbg-molesol | graphconv | fixed-rrog-T1-ns3 | rmse | 1 | 1.0048 (-0.0307) | 0.9968 (-0.0236) | | -| ogbg-molesol | graphsage | fixed-rrog-T1-ns3 | rmse | 1 | 0.9934 (-0.0254) | 1.0794 (-0.0757) | | -| ogbg-molesol | mf | fixed-rrog-T1-ns3 | rmse | 1 | 1.0553 (0.0942) | 1.0368 (0.0271) | | -| ogbg-molesol | pna | fixed-rrog-T1-ns3 | rmse | 1 | 0.9841 (-0.0725) | 0.9092 (0.0060) | | -| ogbg-molesol | resgated | fixed-rrog-T1-ns3 | rmse | 1 | 0.9873 (-0.0382) | 0.8825 (0.0083) | | -| ogbg-molesol | sgc | fixed-rrog-T1-ns3 | rmse | 1 | 1.0129 (0.0488) | 0.9373 (0.0407) | | -| ogbg-molesol | tag | fixed-rrog-T1-ns3 | rmse | 1 | 0.9036 (0.0288) | 0.9462 (0.0215) | | -| ogbg-molesol | transformer | fixed-rrog-T1-ns3 | rmse | 1 | 0.9841 (-0.0443) | 1.0004 (-0.0512) | | -| ogbg-molfreesolv | appnp | fixed-rrog-T1-ns3 | rmse | 1 | 5.5593 (0.4869) | 3.6549 (0.9928) | | -| ogbg-molfreesolv | arma | fixed-rrog-T1-ns3 | rmse | 1 | 5.0683 (-0.8021) | 3.6823 (-0.7053) | | -| ogbg-molfreesolv | cheb | fixed-rrog-T1-ns3 | rmse | 1 | 3.0142 (-0.0662) | 2.2399 (0.0032) | | -| ogbg-molfreesolv | film | fixed-rrog-T1-ns3 | rmse | 1 | 3.2952 (-0.1406) | 3.3042 (-0.3460) | | -| ogbg-molfreesolv | gatv2 | fixed-rrog-T1-ns3 | rmse | 1 | 3.9984 (0.2103) | 2.5966 (0.1403) | | -| ogbg-molfreesolv | gcn | fixed-rrog-T1-ns3 | rmse | 1 | 3.5888 (0.1285) | 2.4444 (0.0407) | | -| ogbg-molfreesolv | gen | fixed-rrog-T1-ns3 | rmse | 1 | 4.3009 (-0.3011) | 2.9063 (-0.3476) | | -| ogbg-molfreesolv | gin | fixed-rrog-T1-ns3 | rmse | 1 | 3.9743 (0.0447) | 3.4292 (0.0607) | | -| ogbg-molfreesolv | gine | fixed-rrog-T1-ns3 | rmse | 1 | 4.4468 (-1.1508) | 3.7405 (-0.5963) | | -| ogbg-molfreesolv | graphconv | fixed-rrog-T1-ns3 | rmse | 1 | 2.9106 (-0.3792) | 3.1429 (-0.3476) | | -| ogbg-molfreesolv | graphsage | fixed-rrog-T1-ns3 | rmse | 1 | 3.7380 (-0.2358) | 2.1931 (0.1046) | | -| ogbg-molfreesolv | mf | fixed-rrog-T1-ns3 | rmse | 1 | 2.5060 (0.2313) | 3.1892 (-0.3007) | | -| ogbg-molfreesolv | pna | fixed-rrog-T1-ns3 | rmse | 1 | 3.3334 (-0.9708) | 2.4279 (-0.1669) | | -| ogbg-molfreesolv | resgated | fixed-rrog-T1-ns3 | rmse | 1 | 3.0920 (-0.6148) | 2.0244 (-0.0203) | | -| ogbg-molfreesolv | sgc | fixed-rrog-T1-ns3 | rmse | 1 | 3.9261 (-0.0114) | 2.4887 (-0.0741) | | -| ogbg-molfreesolv | tag | fixed-rrog-T1-ns3 | rmse | 1 | 2.7359 (-0.0486) | 2.0588 (0.3237) | | -| ogbg-molfreesolv | transformer | fixed-rrog-T1-ns3 | rmse | 1 | 4.4180 (-0.3237) | 2.4325 (-0.1120) | | -| ogbg-molhiv | appnp | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7568 (0.0294) | 0.7303 (0.0321) | | -| ogbg-molhiv | appnp | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7203 (-0.0471) | 0.6825 (-0.0175) | | -| ogbg-molhiv | arma | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7823 (0.0023) | 0.7120 (-0.0276) | | -| ogbg-molhiv | arma | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7926 (0.0054) | 0.7318 (0.0021) | | -| ogbg-molhiv | cheb | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7898 (0.0099) | 0.7347 (0.0083) | | -| ogbg-molhiv | cheb | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7735 (-0.0096) | 0.7426 (0.0144) | | -| ogbg-molhiv | film | fixed-rrog-T1-ns3 | rocauc | 3 | 0.8070 (0.0230) | 0.7523 (0.0018) | | -| ogbg-molhiv | film | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7633 (-0.0288) | 0.7728 (-0.0114) | | -| ogbg-molhiv | gatv2 | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7734 (-0.0106) | 0.7269 (-0.0023) | | -| ogbg-molhiv | gatv2 | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7835 (0.0001) | 0.7466 (-0.0096) | | -| ogbg-molhiv | gcn | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7829 (0.0078) | 0.7386 (0.0026) | | -| ogbg-molhiv | gcn | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7455 (-0.0300) | 0.7483 (0.0285) | | -| ogbg-molhiv | gen | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7664 (0.0038) | 0.7487 (0.0049) | | -| ogbg-molhiv | gen | fixed-rrog-T3-ns3 | rocauc | 1 | 0.8128 (0.0598) | 0.7631 (0.0318) | | -| ogbg-molhiv | gin | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7710 (-0.0342) | 0.7548 (-0.0052) | | -| ogbg-molhiv | gin | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7524 (-0.0644) | 0.7324 (-0.0400) | | -| ogbg-molhiv | gine | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7646 (-0.0140) | 0.7352 (-0.0153) | | -| ogbg-molhiv | gine | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7575 (-0.0368) | 0.7401 (-0.0044) | | -| ogbg-molhiv | graphconv | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7755 (0.0099) | 0.7305 (-0.0025) | | -| ogbg-molhiv | graphconv | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7713 (0.0006) | 0.6979 (-0.0129) | | -| ogbg-molhiv | graphsage | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7860 (-0.0005) | 0.7290 (-0.0216) | | -| ogbg-molhiv | graphsage | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7587 (-0.0382) | 0.7641 (0.0016) | | -| ogbg-molhiv | mf | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7826 (0.0109) | 0.7127 (-0.0225) | | -| ogbg-molhiv | mf | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7931 (0.0085) | 0.7217 (0.0143) | | -| ogbg-molhiv | pna | fixed-rrog-T1-ns3 | rocauc | 3 | 0.8141 (0.0198) | 0.7503 (-0.0018) | | -| ogbg-molhiv | pna | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7890 (0.0111) | 0.7630 (-0.0018) | | -| ogbg-molhiv | resgated | fixed-rrog-T1-ns3 | rocauc | 3 | 0.8020 (0.0057) | 0.7383 (0.0066) | | -| ogbg-molhiv | resgated | fixed-rrog-T3-ns3 | rocauc | 1 | 0.8174 (0.0030) | 0.7055 (-0.0187) | | -| ogbg-molhiv | sgc | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7643 (-0.0056) | 0.7105 (0.0067) | | -| ogbg-molhiv | sgc | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7482 (0.0003) | 0.7177 (0.0158) | | -| ogbg-molhiv | tag | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7554 (0.0066) | 0.7339 (-0.0093) | | -| ogbg-molhiv | tag | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7804 (0.0276) | 0.7352 (0.0096) | | -| ogbg-molhiv | transformer | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7844 (0.0177) | 0.7637 (-0.0077) | | -| ogbg-molhiv | transformer | fixed-rrog-T3-ns3 | rocauc | 1 | 0.8088 (0.0471) | 0.7413 (-0.0134) | | -| ogbg-mollipo | appnp | fixed-rrog-T1-ns3 | rmse | 1 | 0.8393 (0.0622) | 0.9174 (-0.0104) | | -| ogbg-mollipo | arma | fixed-rrog-T1-ns3 | rmse | 1 | 0.7173 (0.0152) | 0.7548 (-0.0253) | | -| ogbg-mollipo | cheb | fixed-rrog-T1-ns3 | rmse | 1 | 0.6990 (0.0198) | 0.7132 (0.0048) | | -| ogbg-mollipo | film | fixed-rrog-T1-ns3 | rmse | 1 | 0.8122 (-0.0502) | 0.7353 (0.0018) | | -| ogbg-mollipo | gatv2 | fixed-rrog-T1-ns3 | rmse | 1 | 0.7080 (-0.0215) | 0.7334 (-0.0026) | | -| ogbg-mollipo | gcn | fixed-rrog-T1-ns3 | rmse | 1 | 0.7730 (-0.0351) | 0.7759 (0.0069) | | -| ogbg-mollipo | gen | fixed-rrog-T1-ns3 | rmse | 1 | 0.6594 (0.0452) | 0.7456 (-0.0077) | | -| ogbg-mollipo | gin | fixed-rrog-T1-ns3 | rmse | 1 | 0.6749 (0.0105) | 0.7073 (0.0317) | | -| ogbg-mollipo | gine | fixed-rrog-T1-ns3 | rmse | 1 | 0.7168 (-0.0553) | 0.7316 (0.0025) | | -| ogbg-mollipo | graphconv | fixed-rrog-T1-ns3 | rmse | 1 | 0.7372 (-0.0195) | 0.7396 (-0.0099) | | -| ogbg-mollipo | graphsage | fixed-rrog-T1-ns3 | rmse | 1 | 0.7184 (0.0055) | 0.7720 (0.0063) | | -| ogbg-mollipo | mf | fixed-rrog-T1-ns3 | rmse | 1 | 0.7050 (0.0080) | 0.7101 (0.0304) | | -| ogbg-mollipo | pna | fixed-rrog-T1-ns3 | rmse | 1 | 0.7466 (-0.0287) | 0.7908 (-0.0159) | | -| ogbg-mollipo | resgated | fixed-rrog-T1-ns3 | rmse | 1 | 0.6766 (-0.0046) | 0.7144 (0.0126) | | -| ogbg-mollipo | sgc | fixed-rrog-T1-ns3 | rmse | 1 | 0.7537 (-0.0032) | 0.7490 (0.0685) | | -| ogbg-mollipo | tag | fixed-rrog-T1-ns3 | rmse | 1 | 0.6743 (-0.0052) | 0.7201 (0.0026) | | -| ogbg-mollipo | transformer | fixed-rrog-T1-ns3 | rmse | 1 | 0.6688 (0.0121) | 0.7396 (-0.0050) | | -| ogbg-molsider | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.5938 (0.0051) | 0.5905 (-0.0099) | | -| ogbg-molsider | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6344 (0.0071) | 0.6141 (-0.0018) | | -| ogbg-molsider | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6263 (0.0026) | 0.6096 (0.0062) | | -| ogbg-molsider | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.5862 (-0.0162) | 0.5974 (0.0076) | | -| ogbg-molsider | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6462 (0.0391) | 0.6000 (-0.0013) | | -| ogbg-molsider | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6256 (-0.0037) | 0.6117 (0.0031) | | -| ogbg-molsider | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6345 (-0.0175) | 0.6053 (0.0199) | | -| ogbg-molsider | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6046 (-0.0179) | 0.6022 (0.0274) | | -| ogbg-molsider | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6151 (-0.0176) | 0.6150 (0.0655) | | -| ogbg-molsider | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6010 (0.0089) | 0.5963 (-0.0188) | | -| ogbg-molsider | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6232 (0.0015) | 0.5861 (0.0053) | | -| ogbg-molsider | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6190 (-0.0012) | 0.5983 (0.0122) | | -| ogbg-molsider | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6058 (-0.0161) | 0.5721 (-0.0243) | | -| ogbg-molsider | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6205 (-0.0005) | 0.5960 (0.0050) | | -| ogbg-molsider | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6151 (-0.0022) | 0.6417 (0.0375) | | -| ogbg-molsider | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6410 (-0.0028) | 0.6102 (-0.0041) | | -| ogbg-molsider | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6315 (0.0156) | 0.6190 (0.0210) | | -| ogbg-moltox21 | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7280 (0.0025) | 0.7154 (-0.0005) | | -| ogbg-moltox21 | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7771 (-0.0028) | 0.7209 (-0.0014) | | -| ogbg-moltox21 | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7710 (-0.0125) | 0.7286 (-0.0015) | | -| ogbg-moltox21 | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7727 (0.0025) | 0.7369 (0.0209) | | -| ogbg-moltox21 | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7762 (0.0135) | 0.7303 (0.0143) | | -| ogbg-moltox21 | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7588 (0.0007) | 0.7230 (0.0059) | | -| ogbg-moltox21 | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7757 (-0.0077) | 0.7312 (-0.0132) | | -| ogbg-moltox21 | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7718 (0.0028) | 0.7237 (-0.0005) | | -| ogbg-moltox21 | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7622 (-0.0122) | 0.7193 (-0.0135) | | -| ogbg-moltox21 | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7820 (-0.0011) | 0.7313 (0.0166) | | -| ogbg-moltox21 | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7697 (-0.0012) | 0.7205 (0.0009) | | -| ogbg-moltox21 | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7695 (-0.0078) | 0.7279 (-0.0002) | | -| ogbg-moltox21 | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7745 (0.0085) | 0.7349 (0.0403) | | -| ogbg-moltox21 | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7887 (-0.0064) | 0.7380 (0.0104) | | -| ogbg-moltox21 | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7506 (-0.0105) | 0.7355 (0.0115) | | -| ogbg-moltox21 | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7839 (-0.0027) | 0.7342 (-0.0074) | | -| ogbg-moltox21 | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7761 (0.0105) | 0.7292 (-0.0018) | | +| task | backbone | compute | metric | n | val score (delta) | test score (delta) | adaptive test (delta) | steps | +| --- | --- | --- | --- | --- | --- | --- | --- | --- | +| ogbg-molbace | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7168 (0.0604) | 0.7209 (-0.0214) | | | +| ogbg-molbace | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6835 (0.0271) | 0.7119 (-0.0304) | 0.7328 (-0.0095) | 2.13 | +| ogbg-molbace | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7179 (0.0256) | 0.7672 (-0.0167) | | | +| ogbg-molbace | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7355 (0.0432) | 0.7451 (-0.0388) | 0.7646 (-0.0193) | 4.38 | +| ogbg-molbace | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7114 (-0.0154) | 0.7533 (-0.0436) | | | +| ogbg-molbace | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7165 (-0.0103) | 0.8007 (0.0038) | 0.8120 (0.0151) | 2.60 | +| ogbg-molbace | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6652 (-0.0051) | 0.7242 (0.0000) | | | +| ogbg-molbace | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6467 (-0.0236) | 0.6802 (-0.0440) | 0.6733 (-0.0509) | 5.26 | +| ogbg-molbace | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7026 (-0.0004) | 0.7519 (0.0118) | | | +| ogbg-molbace | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7132 (0.0103) | 0.8261 (0.0861) | 0.8263 (0.0862) | 4.01 | +| ogbg-molbace | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6374 (-0.0007) | 0.7733 (0.0339) | | | +| ogbg-molbace | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7201 (0.0821) | 0.7484 (0.0090) | 0.7451 (0.0057) | 3.96 | +| ogbg-molbace | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6894 (-0.0234) | 0.7449 (0.0123) | | | +| ogbg-molbace | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6535 (-0.0593) | 0.6915 (-0.0410) | 0.6788 (-0.0537) | 3.98 | +| ogbg-molbace | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6538 (0.0018) | 0.7169 (-0.0167) | | | +| ogbg-molbace | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6802 (0.0282) | 0.7235 (-0.0101) | 0.7220 (-0.0117) | 3.47 | +| ogbg-molbace | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6685 (0.0044) | 0.6994 (-0.0461) | | | +| ogbg-molbace | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6824 (0.0183) | 0.7719 (0.0264) | 0.7698 (0.0243) | 3.17 | +| ogbg-molbace | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7462 (0.0150) | 0.7983 (-0.0052) | | | +| ogbg-molbace | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6908 (-0.0403) | 0.7475 (-0.0560) | 0.7639 (-0.0396) | 4.28 | +| ogbg-molbace | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6703 (-0.0055) | 0.7119 (-0.0640) | | | +| ogbg-molbace | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7092 (0.0333) | 0.7821 (0.0063) | 0.7910 (0.0151) | 3.75 | +| ogbg-molbace | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7234 (-0.0187) | 0.7684 (-0.0077) | | | +| ogbg-molbace | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7747 (0.0326) | 0.8019 (0.0259) | 0.7950 (0.0190) | 4.98 | +| ogbg-molbace | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7037 (-0.0480) | 0.7967 (0.1055) | | | +| ogbg-molbace | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7095 (-0.0421) | 0.7809 (0.0897) | 0.7338 (0.0426) | 3.91 | +| ogbg-molbace | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6912 (-0.0260) | 0.7465 (-0.0412) | | | +| ogbg-molbace | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7396 (0.0223) | 0.7314 (-0.0563) | 0.7618 (-0.0259) | 3.39 | +| ogbg-molbace | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6454 (-0.0121) | 0.7727 (0.0762) | | | +| ogbg-molbace | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6615 (0.0040) | 0.7971 (0.1005) | 0.7988 (0.1022) | 3.64 | +| ogbg-molbace | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7355 (0.0271) | 0.6806 (-0.0539) | | | +| ogbg-molbace | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7084 (0.0000) | 0.7960 (0.0616) | 0.7776 (0.0431) | 2.55 | +| ogbg-molbace | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6982 (0.0319) | 0.7487 (0.0123) | | | +| ogbg-molbace | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6535 (-0.0128) | 0.7192 (-0.0172) | 0.7293 (-0.0071) | 2.71 | +| ogbg-molbbbp | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9360 (0.0213) | 0.6073 (-0.0314) | | | +| ogbg-molbbbp | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9066 (-0.0081) | 0.5574 (-0.0814) | 0.6226 (-0.0162) | 2.01 | +| ogbg-molbbbp | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9415 (0.0048) | 0.6635 (-0.0016) | | | +| ogbg-molbbbp | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9405 (0.0038) | 0.6411 (-0.0240) | 0.6368 (-0.0284) | 2.15 | +| ogbg-molbbbp | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9278 (-0.0174) | 0.6659 (0.0145) | | | +| ogbg-molbbbp | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9496 (0.0044) | 0.6182 (-0.0332) | 0.6110 (-0.0404) | 2.17 | +| ogbg-molbbbp | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9400 (0.0115) | 0.6323 (0.0023) | | | +| ogbg-molbbbp | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9393 (0.0108) | 0.5584 (-0.0716) | 0.5746 (-0.0555) | 3.21 | +| ogbg-molbbbp | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9356 (0.0009) | 0.6560 (0.0235) | | | +| ogbg-molbbbp | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9303 (-0.0044) | 0.6648 (0.0324) | 0.6627 (0.0303) | 2.14 | +| ogbg-molbbbp | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9417 (0.0031) | 0.6017 (-0.0663) | | | +| ogbg-molbbbp | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9528 (0.0142) | 0.6795 (0.0116) | 0.6629 (-0.0050) | 2.27 | +| ogbg-molbbbp | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9429 (-0.0119) | 0.6037 (-0.0738) | | | +| ogbg-molbbbp | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9251 (-0.0298) | 0.6314 (-0.0461) | 0.6291 (-0.0483) | 3.79 | +| ogbg-molbbbp | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9526 (0.0275) | 0.5932 (0.0261) | | | +| ogbg-molbbbp | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9204 (-0.0047) | 0.6528 (0.0857) | 0.6526 (0.0856) | 4.87 | +| ogbg-molbbbp | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9421 (0.0098) | 0.6976 (0.0816) | | | +| ogbg-molbbbp | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9205 (-0.0118) | 0.5918 (-0.0242) | 0.5948 (-0.0212) | 2.92 | +| ogbg-molbbbp | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9337 (0.0069) | 0.6518 (0.0618) | | | +| ogbg-molbbbp | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9234 (-0.0034) | 0.6602 (0.0702) | 0.6875 (0.0975) | 2.79 | +| ogbg-molbbbp | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9502 (0.0019) | 0.5934 (-0.0354) | | | +| ogbg-molbbbp | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9407 (-0.0077) | 0.6040 (-0.0248) | 0.6148 (-0.0140) | 2.57 | +| ogbg-molbbbp | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9488 (0.0094) | 0.6481 (0.0116) | | | +| ogbg-molbbbp | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9368 (-0.0027) | 0.6621 (0.0257) | 0.6678 (0.0313) | 3.54 | +| ogbg-molbbbp | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9585 (0.0031) | 0.6682 (0.0264) | | | +| ogbg-molbbbp | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9500 (-0.0054) | 0.6173 (-0.0245) | 0.6180 (-0.0238) | 4.69 | +| ogbg-molbbbp | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9535 (0.0352) | 0.5839 (-0.0787) | | | +| ogbg-molbbbp | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9133 (-0.0050) | 0.5753 (-0.0873) | 0.5887 (-0.0739) | 3.59 | +| ogbg-molbbbp | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9285 (-0.0015) | 0.6454 (0.0215) | | | +| ogbg-molbbbp | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9475 (0.0175) | 0.6593 (0.0354) | 0.6675 (0.0436) | 2.25 | +| ogbg-molbbbp | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9459 (-0.0017) | 0.6420 (0.0320) | | | +| ogbg-molbbbp | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9496 (0.0020) | 0.6580 (0.0480) | 0.6551 (0.0451) | 2.62 | +| ogbg-molbbbp | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9355 (-0.0140) | 0.6221 (0.0065) | | | +| ogbg-molbbbp | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9398 (-0.0098) | 0.6426 (0.0269) | 0.6310 (0.0153) | 2.23 | +| ogbg-molclintox | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9029 (0.0513) | 0.8898 (-0.0286) | | | +| ogbg-molclintox | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9156 (0.0640) | 0.7780 (-0.1404) | 0.8861 (-0.0323) | 2.16 | +| ogbg-molclintox | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9135 (-0.0328) | 0.8863 (0.0185) | | | +| ogbg-molclintox | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9423 (-0.0040) | 0.8458 (-0.0220) | 0.8651 (-0.0027) | 2.72 | +| ogbg-molclintox | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.8816 (-0.0112) | 0.8982 (-0.0170) | | | +| ogbg-molclintox | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9172 (0.0244) | 0.9066 (-0.0086) | 0.9058 (-0.0094) | 2.98 | +| ogbg-molclintox | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9454 (0.0406) | 0.8430 (0.0699) | | | +| ogbg-molclintox | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.8532 (-0.0516) | 0.8230 (0.0499) | 0.8409 (0.0679) | 3.57 | +| ogbg-molclintox | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9351 (-0.0164) | 0.8328 (-0.0164) | | | +| ogbg-molclintox | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9507 (-0.0008) | 0.8618 (0.0125) | 0.8344 (-0.0149) | 2.34 | +| ogbg-molclintox | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9097 (-0.0221) | 0.8792 (-0.0140) | | | +| ogbg-molclintox | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9460 (0.0142) | 0.8712 (-0.0220) | 0.8802 (-0.0130) | 2.20 | +| ogbg-molclintox | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9399 (-0.0421) | 0.8194 (0.0066) | | | +| ogbg-molclintox | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9627 (-0.0194) | 0.7994 (-0.0134) | 0.8025 (-0.0103) | 2.52 | +| ogbg-molclintox | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9164 (-0.0383) | 0.8788 (0.0202) | | | +| ogbg-molclintox | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9600 (0.0053) | 0.8034 (-0.0553) | 0.8111 (-0.0475) | 2.71 | +| ogbg-molclintox | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9225 (-0.0127) | 0.8840 (-0.0030) | | | +| ogbg-molclintox | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9456 (0.0104) | 0.9048 (0.0179) | 0.9069 (0.0200) | 2.30 | +| ogbg-molclintox | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.8494 (-0.0424) | 0.8186 (-0.0316) | | | +| ogbg-molclintox | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9575 (0.0657) | 0.8813 (0.0311) | 0.8485 (-0.0016) | 2.41 | +| ogbg-molclintox | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9579 (0.0436) | 0.8664 (-0.0217) | | | +| ogbg-molclintox | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9516 (0.0373) | 0.8822 (-0.0060) | 0.8780 (-0.0101) | 2.43 | +| ogbg-molclintox | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9147 (-0.0104) | 0.8047 (-0.0323) | | | +| ogbg-molclintox | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9416 (0.0165) | 0.8527 (0.0157) | 0.8698 (0.0328) | 2.57 | +| ogbg-molclintox | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9064 (-0.0222) | 0.8735 (0.0132) | | | +| ogbg-molclintox | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.8741 (-0.0544) | 0.8539 (-0.0064) | 0.8614 (0.0011) | 3.68 | +| ogbg-molclintox | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9055 (-0.0188) | 0.8979 (-0.0205) | | | +| ogbg-molclintox | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9577 (0.0333) | 0.8777 (-0.0407) | 0.8951 (-0.0233) | 2.26 | +| ogbg-molclintox | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9220 (0.0025) | 0.9054 (0.0068) | | | +| ogbg-molclintox | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9153 (-0.0042) | 0.8883 (-0.0103) | 0.8905 (-0.0081) | 2.25 | +| ogbg-molclintox | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9183 (-0.0054) | 0.8433 (0.0435) | | | +| ogbg-molclintox | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.9001 (-0.0236) | 0.8009 (0.0011) | 0.8084 (0.0085) | 2.59 | +| ogbg-molclintox | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.9322 (0.0051) | 0.8522 (-0.0242) | | | +| ogbg-molclintox | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.8521 (-0.0749) | 0.7333 (-0.1431) | 0.7908 (-0.0855) | 3.26 | +| ogbg-molesol | appnp | fixed-rrog-T1-ns3 | rmse | 1 | 1.4196 (0.1887) | 1.4929 (0.0284) | | | +| ogbg-molesol | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.6270 (-0.0187) | 1.2973 (0.2239) | 1.0733 (0.4479) | 2.81 | +| ogbg-molesol | arma | fixed-rrog-T1-ns3 | rmse | 1 | 1.0034 (0.0160) | 1.1272 (-0.0606) | | | +| ogbg-molesol | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.3100 (-0.2905) | 1.5310 (-0.4644) | 1.0386 (0.0280) | 2.58 | +| ogbg-molesol | cheb | fixed-rrog-T1-ns3 | rmse | 1 | 0.9199 (0.0451) | 0.8841 (-0.0118) | | | +| ogbg-molesol | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0643 (-0.0993) | 1.0342 (-0.1620) | 0.8498 (0.0225) | 2.60 | +| ogbg-molesol | film | fixed-rrog-T1-ns3 | rmse | 1 | 1.0196 (0.0521) | 1.0849 (0.2047) | | | +| ogbg-molesol | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.3674 (-0.2956) | 1.3648 (-0.0752) | 1.1286 (0.1610) | 3.61 | +| ogbg-molesol | gatv2 | fixed-rrog-T1-ns3 | rmse | 1 | 1.0018 (0.0350) | 0.9780 (0.0098) | | | +| ogbg-molesol | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9842 (0.0525) | 0.9534 (0.0344) | 0.8806 (0.1072) | 2.49 | +| ogbg-molesol | gcn | fixed-rrog-T1-ns3 | rmse | 1 | 0.9591 (0.0818) | 0.9305 (0.1856) | | | +| ogbg-molesol | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0294 (0.0115) | 1.2573 (-0.1411) | 0.9222 (0.1940) | 2.72 | +| ogbg-molesol | gen | fixed-rrog-T1-ns3 | rmse | 1 | 1.0027 (0.0062) | 0.9206 (-0.0444) | | | +| ogbg-molesol | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.1622 (-0.1534) | 1.4459 (-0.5697) | 1.0919 (-0.2157) | 2.61 | +| ogbg-molesol | gin | fixed-rrog-T1-ns3 | rmse | 1 | 0.9647 (0.0540) | 1.0798 (-0.0899) | | | +| ogbg-molesol | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.4047 (-0.3860) | 2.0651 (-1.0751) | 0.9663 (0.0236) | 2.98 | +| ogbg-molesol | gine | fixed-rrog-T1-ns3 | rmse | 1 | 1.0581 (-0.0295) | 1.0951 (-0.0144) | | | +| ogbg-molesol | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.3110 (-0.2824) | 2.0394 (-0.9588) | 1.0993 (-0.0186) | 2.88 | +| ogbg-molesol | graphconv | fixed-rrog-T1-ns3 | rmse | 1 | 1.0048 (-0.0307) | 0.9968 (-0.0236) | | | +| ogbg-molesol | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.1480 (-0.1739) | 1.2081 (-0.2348) | 1.0046 (-0.0314) | 2.74 | +| ogbg-molesol | graphsage | fixed-rrog-T1-ns3 | rmse | 1 | 0.9934 (-0.0254) | 1.0794 (-0.0757) | | | +| ogbg-molesol | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.1587 (-0.1907) | 1.3229 (-0.3191) | 0.9324 (0.0714) | 2.40 | +| ogbg-molesol | mf | fixed-rrog-T1-ns3 | rmse | 1 | 1.0553 (0.0942) | 1.0368 (0.0271) | | | +| ogbg-molesol | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0765 (0.0729) | 1.0844 (-0.0205) | 0.9589 (0.1050) | 3.41 | +| ogbg-molesol | pna | fixed-rrog-T1-ns3 | rmse | 1 | 0.9841 (-0.0725) | 0.9092 (0.0060) | | | +| ogbg-molesol | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.2810 (-0.3694) | 1.4176 (-0.5023) | 0.9829 (-0.0677) | 2.60 | +| ogbg-molesol | resgated | fixed-rrog-T1-ns3 | rmse | 1 | 0.9873 (-0.0382) | 0.8825 (0.0083) | | | +| ogbg-molesol | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0939 (-0.1447) | 1.0833 (-0.1925) | 0.9181 (-0.0273) | 3.23 | +| ogbg-molesol | sgc | fixed-rrog-T1-ns3 | rmse | 1 | 1.0129 (0.0488) | 0.9373 (0.0407) | | | +| ogbg-molesol | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0345 (0.0272) | 1.0466 (-0.0686) | 0.9781 (-0.0001) | 3.28 | +| ogbg-molesol | tag | fixed-rrog-T1-ns3 | rmse | 1 | 0.9036 (0.0288) | 0.9462 (0.0215) | | | +| ogbg-molesol | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0871 (-0.1548) | 1.2508 (-0.2831) | 1.0190 (-0.0512) | 2.35 | +| ogbg-molesol | transformer | fixed-rrog-T1-ns3 | rmse | 1 | 0.9841 (-0.0443) | 1.0004 (-0.0512) | | | +| ogbg-molesol | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0664 (-0.1267) | 0.9534 (-0.0042) | 0.8505 (0.0987) | 2.28 | +| ogbg-molfreesolv | appnp | fixed-rrog-T1-ns3 | rmse | 1 | 5.5593 (0.4869) | 3.6549 (0.9928) | | | +| ogbg-molfreesolv | arma | fixed-rrog-T1-ns3 | rmse | 1 | 5.0683 (-0.8021) | 3.6823 (-0.7053) | | | +| ogbg-molfreesolv | cheb | fixed-rrog-T1-ns3 | rmse | 1 | 3.0142 (-0.0662) | 2.2399 (0.0032) | | | +| ogbg-molfreesolv | film | fixed-rrog-T1-ns3 | rmse | 1 | 3.2952 (-0.1406) | 3.3042 (-0.3460) | | | +| ogbg-molfreesolv | gatv2 | fixed-rrog-T1-ns3 | rmse | 1 | 3.9984 (0.2103) | 2.5966 (0.1403) | | | +| ogbg-molfreesolv | gcn | fixed-rrog-T1-ns3 | rmse | 1 | 3.5888 (0.1285) | 2.4444 (0.0407) | | | +| ogbg-molfreesolv | gen | fixed-rrog-T1-ns3 | rmse | 1 | 4.3009 (-0.3011) | 2.9063 (-0.3476) | | | +| ogbg-molfreesolv | gin | fixed-rrog-T1-ns3 | rmse | 1 | 3.9743 (0.0447) | 3.4292 (0.0607) | | | +| ogbg-molfreesolv | gine | fixed-rrog-T1-ns3 | rmse | 1 | 4.4468 (-1.1508) | 3.7405 (-0.5963) | | | +| ogbg-molfreesolv | graphconv | fixed-rrog-T1-ns3 | rmse | 1 | 2.9106 (-0.3792) | 3.1429 (-0.3476) | | | +| ogbg-molfreesolv | graphsage | fixed-rrog-T1-ns3 | rmse | 1 | 3.7380 (-0.2358) | 2.1931 (0.1046) | | | +| ogbg-molfreesolv | mf | fixed-rrog-T1-ns3 | rmse | 1 | 2.5060 (0.2313) | 3.1892 (-0.3007) | | | +| ogbg-molfreesolv | pna | fixed-rrog-T1-ns3 | rmse | 1 | 3.3334 (-0.9708) | 2.4279 (-0.1669) | | | +| ogbg-molfreesolv | resgated | fixed-rrog-T1-ns3 | rmse | 1 | 3.0920 (-0.6148) | 2.0244 (-0.0203) | | | +| ogbg-molfreesolv | sgc | fixed-rrog-T1-ns3 | rmse | 1 | 3.9261 (-0.0114) | 2.4887 (-0.0741) | | | +| ogbg-molfreesolv | tag | fixed-rrog-T1-ns3 | rmse | 1 | 2.7359 (-0.0486) | 2.0588 (0.3237) | | | +| ogbg-molfreesolv | transformer | fixed-rrog-T1-ns3 | rmse | 1 | 4.4180 (-0.3237) | 2.4325 (-0.1120) | | | +| ogbg-molhiv | appnp | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7568 (0.0294) | 0.7303 (0.0321) | | | +| ogbg-molhiv | appnp | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7203 (-0.0471) | 0.6825 (-0.0175) | | | +| ogbg-molhiv | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7379 (-0.0296) | 0.6883 (-0.0117) | 0.7291 (0.0291) | 2.10 | +| ogbg-molhiv | arma | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7823 (0.0023) | 0.7120 (-0.0276) | | | +| ogbg-molhiv | arma | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7926 (0.0054) | 0.7318 (0.0021) | | | +| ogbg-molhiv | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7861 (-0.0011) | 0.7307 (0.0011) | 0.7379 (0.0082) | 2.09 | +| ogbg-molhiv | cheb | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7898 (0.0099) | 0.7347 (0.0083) | | | +| ogbg-molhiv | cheb | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7735 (-0.0096) | 0.7426 (0.0144) | | | +| ogbg-molhiv | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7825 (-0.0006) | 0.7206 (-0.0076) | 0.7219 (-0.0063) | 2.29 | +| ogbg-molhiv | film | fixed-rrog-T1-ns3 | rocauc | 3 | 0.8070 (0.0230) | 0.7523 (0.0018) | | | +| ogbg-molhiv | film | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7633 (-0.0288) | 0.7728 (-0.0114) | | | +| ogbg-molhiv | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.8150 (0.0229) | 0.7415 (-0.0427) | 0.7292 (-0.0551) | 2.21 | +| ogbg-molhiv | gatv2 | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7734 (-0.0106) | 0.7269 (-0.0023) | | | +| ogbg-molhiv | gatv2 | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7835 (0.0001) | 0.7466 (-0.0096) | | | +| ogbg-molhiv | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7722 (-0.0112) | 0.7005 (-0.0557) | 0.7210 (-0.0353) | 2.16 | +| ogbg-molhiv | gcn | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7829 (0.0078) | 0.7386 (0.0026) | | | +| ogbg-molhiv | gcn | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7455 (-0.0300) | 0.7483 (0.0285) | | | +| ogbg-molhiv | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7652 (-0.0102) | 0.7280 (0.0082) | 0.7195 (-0.0003) | 2.14 | +| ogbg-molhiv | gen | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7664 (0.0038) | 0.7487 (0.0049) | | | +| ogbg-molhiv | gen | fixed-rrog-T3-ns3 | rocauc | 1 | 0.8128 (0.0598) | 0.7631 (0.0318) | | | +| ogbg-molhiv | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7690 (0.0160) | 0.7434 (0.0121) | 0.7427 (0.0113) | 2.18 | +| ogbg-molhiv | gin | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7710 (-0.0342) | 0.7548 (-0.0052) | | | +| ogbg-molhiv | gin | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7524 (-0.0644) | 0.7324 (-0.0400) | | | +| ogbg-molhiv | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7623 (-0.0545) | 0.7285 (-0.0439) | 0.7415 (-0.0309) | 2.18 | +| ogbg-molhiv | gine | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7646 (-0.0140) | 0.7352 (-0.0153) | | | +| ogbg-molhiv | gine | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7575 (-0.0368) | 0.7401 (-0.0044) | | | +| ogbg-molhiv | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7427 (-0.0515) | 0.7217 (-0.0228) | 0.7220 (-0.0226) | 2.19 | +| ogbg-molhiv | graphconv | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7755 (0.0099) | 0.7305 (-0.0025) | | | +| ogbg-molhiv | graphconv | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7713 (0.0006) | 0.6979 (-0.0129) | | | +| ogbg-molhiv | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7791 (0.0084) | 0.7511 (0.0403) | 0.7493 (0.0385) | 2.23 | +| ogbg-molhiv | graphsage | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7860 (-0.0005) | 0.7290 (-0.0216) | | | +| ogbg-molhiv | graphsage | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7587 (-0.0382) | 0.7641 (0.0016) | | | +| ogbg-molhiv | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7724 (-0.0244) | 0.7541 (-0.0084) | 0.7493 (-0.0132) | 2.23 | +| ogbg-molhiv | mf | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7826 (0.0109) | 0.7127 (-0.0225) | | | +| ogbg-molhiv | mf | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7931 (0.0085) | 0.7217 (0.0143) | | | +| ogbg-molhiv | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.8047 (0.0201) | 0.7416 (0.0343) | 0.7333 (0.0260) | 2.20 | +| ogbg-molhiv | pna | fixed-rrog-T1-ns3 | rocauc | 3 | 0.8141 (0.0198) | 0.7503 (-0.0018) | | | +| ogbg-molhiv | pna | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7890 (0.0111) | 0.7630 (-0.0018) | | | +| ogbg-molhiv | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7488 (-0.0292) | 0.6730 (-0.0918) | 0.6877 (-0.0771) | 2.06 | +| ogbg-molhiv | resgated | fixed-rrog-T1-ns3 | rocauc | 3 | 0.8020 (0.0057) | 0.7383 (0.0066) | | | +| ogbg-molhiv | resgated | fixed-rrog-T3-ns3 | rocauc | 1 | 0.8174 (0.0030) | 0.7055 (-0.0187) | | | +| ogbg-molhiv | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.8031 (-0.0113) | 0.7503 (0.0261) | 0.7567 (0.0325) | 2.22 | +| ogbg-molhiv | sgc | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7643 (-0.0056) | 0.7105 (0.0067) | | | +| ogbg-molhiv | sgc | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7482 (0.0003) | 0.7177 (0.0158) | | | +| ogbg-molhiv | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7353 (-0.0126) | 0.6962 (-0.0057) | 0.7017 (-0.0002) | 2.08 | +| ogbg-molhiv | tag | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7554 (0.0066) | 0.7339 (-0.0093) | | | +| ogbg-molhiv | tag | fixed-rrog-T3-ns3 | rocauc | 1 | 0.7804 (0.0276) | 0.7352 (0.0096) | | | +| ogbg-molhiv | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7568 (0.0040) | 0.7481 (0.0225) | 0.7477 (0.0222) | 2.23 | +| ogbg-molhiv | transformer | fixed-rrog-T1-ns3 | rocauc | 3 | 0.7844 (0.0177) | 0.7637 (-0.0077) | | | +| ogbg-molhiv | transformer | fixed-rrog-T3-ns3 | rocauc | 1 | 0.8088 (0.0471) | 0.7413 (-0.0134) | | | +| ogbg-molhiv | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7813 (0.0196) | 0.7294 (-0.0253) | 0.7396 (-0.0151) | 2.22 | +| ogbg-mollipo | appnp | fixed-rrog-T1-ns3 | rmse | 1 | 0.8393 (0.0622) | 0.9174 (-0.0104) | | | +| ogbg-mollipo | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.1389 (-0.2374) | 1.0733 (-0.1663) | 0.8332 (0.0738) | 2.24 | +| ogbg-mollipo | arma | fixed-rrog-T1-ns3 | rmse | 1 | 0.7173 (0.0152) | 0.7548 (-0.0253) | | | +| ogbg-mollipo | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 108.3475 (-107.6151) | 1.5815 (-0.8520) | 1.2715 (-0.5420) | 6.02 | +| ogbg-mollipo | cheb | fixed-rrog-T1-ns3 | rmse | 1 | 0.6990 (0.0198) | 0.7132 (0.0048) | | | +| ogbg-mollipo | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.7459 (-0.0271) | 0.8055 (-0.0875) | 0.7405 (-0.0225) | 2.03 | +| ogbg-mollipo | film | fixed-rrog-T1-ns3 | rmse | 1 | 0.8122 (-0.0502) | 0.7353 (0.0018) | | | +| ogbg-mollipo | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9864 (-0.2243) | 0.9712 (-0.2341) | 0.8345 (-0.0974) | 3.21 | +| ogbg-mollipo | gatv2 | fixed-rrog-T1-ns3 | rmse | 1 | 0.7080 (-0.0215) | 0.7334 (-0.0026) | | | +| ogbg-mollipo | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.8837 (-0.1973) | 0.9251 (-0.1943) | 0.7936 (-0.0628) | 2.29 | +| ogbg-mollipo | gcn | fixed-rrog-T1-ns3 | rmse | 1 | 0.7730 (-0.0351) | 0.7759 (0.0069) | | | +| ogbg-mollipo | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9104 (-0.1725) | 0.9299 (-0.1471) | 0.8010 (-0.0181) | 2.48 | +| ogbg-mollipo | gen | fixed-rrog-T1-ns3 | rmse | 1 | 0.6594 (0.0452) | 0.7456 (-0.0077) | | | +| ogbg-mollipo | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9300 (-0.2254) | 0.9386 (-0.2007) | 0.9375 (-0.1996) | 4.25 | +| ogbg-mollipo | gin | fixed-rrog-T1-ns3 | rmse | 1 | 0.6749 (0.0105) | 0.7073 (0.0317) | | | +| ogbg-mollipo | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.8873 (-0.2019) | 1.0246 (-0.2856) | 0.8619 (-0.1229) | 2.54 | +| ogbg-mollipo | gine | fixed-rrog-T1-ns3 | rmse | 1 | 0.7168 (-0.0553) | 0.7316 (0.0025) | | | +| ogbg-mollipo | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.8773 (-0.2159) | 0.9710 (-0.2369) | 0.8221 (-0.0880) | 2.40 | +| ogbg-mollipo | graphconv | fixed-rrog-T1-ns3 | rmse | 1 | 0.7372 (-0.0195) | 0.7396 (-0.0099) | | | +| ogbg-mollipo | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9624 (-0.2446) | 0.9986 (-0.2689) | 0.7662 (-0.0366) | 2.12 | +| ogbg-mollipo | graphsage | fixed-rrog-T1-ns3 | rmse | 1 | 0.7184 (0.0055) | 0.7720 (0.0063) | | | +| ogbg-mollipo | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0742 (-0.3503) | 1.1165 (-0.3382) | 0.9748 (-0.1965) | 5.46 | +| ogbg-mollipo | mf | fixed-rrog-T1-ns3 | rmse | 1 | 0.7050 (0.0080) | 0.7101 (0.0304) | | | +| ogbg-mollipo | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 1.0056 (-0.2927) | 0.9820 (-0.2415) | 0.9414 (-0.2009) | 4.32 | +| ogbg-mollipo | pna | fixed-rrog-T1-ns3 | rmse | 1 | 0.7466 (-0.0287) | 0.7908 (-0.0159) | | | +| ogbg-mollipo | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9147 (-0.1968) | 0.9267 (-0.1517) | 0.8750 (-0.1001) | 4.61 | +| ogbg-mollipo | resgated | fixed-rrog-T1-ns3 | rmse | 1 | 0.6766 (-0.0046) | 0.7144 (0.0126) | | | +| ogbg-mollipo | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.8307 (-0.1587) | 0.8825 (-0.1554) | 0.7250 (0.0020) | 2.12 | +| ogbg-mollipo | sgc | fixed-rrog-T1-ns3 | rmse | 1 | 0.7537 (-0.0032) | 0.7490 (0.0685) | | | +| ogbg-mollipo | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.9196 (-0.1692) | 1.0145 (-0.1969) | 0.8478 (-0.0303) | 2.35 | +| ogbg-mollipo | tag | fixed-rrog-T1-ns3 | rmse | 1 | 0.6743 (-0.0052) | 0.7201 (0.0026) | | | +| ogbg-mollipo | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.8615 (-0.1924) | 0.9196 (-0.1969) | 0.8038 (-0.0812) | 2.35 | +| ogbg-mollipo | transformer | fixed-rrog-T1-ns3 | rmse | 1 | 0.6688 (0.0121) | 0.7396 (-0.0050) | | | +| ogbg-mollipo | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rmse | 1 | 0.8666 (-0.1856) | 0.8930 (-0.1583) | 0.7886 (-0.0540) | 2.32 | +| ogbg-molsider | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.5938 (0.0051) | 0.5905 (-0.0099) | | | +| ogbg-molsider | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.5801 (-0.0085) | 0.6009 (0.0005) | 0.5959 (-0.0045) | 7.28 | +| ogbg-molsider | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6344 (0.0071) | 0.6141 (-0.0018) | | | +| ogbg-molsider | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6605 (0.0332) | 0.5590 (-0.0569) | 0.5581 (-0.0578) | 7.90 | +| ogbg-molsider | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6263 (0.0026) | 0.6096 (0.0062) | | | +| ogbg-molsider | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6409 (0.0172) | 0.6150 (0.0116) | 0.6145 (0.0111) | 7.87 | +| ogbg-molsider | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.5862 (-0.0162) | 0.5974 (0.0076) | | | +| ogbg-molsider | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.5408 (-0.0616) | 0.5825 (-0.0073) | 0.5825 (-0.0073) | 8.00 | +| ogbg-molsider | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6462 (0.0391) | 0.6000 (-0.0013) | | | +| ogbg-molsider | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.5778 (-0.0294) | 0.6337 (0.0324) | 0.6340 (0.0326) | 7.96 | +| ogbg-molsider | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6256 (-0.0037) | 0.6117 (0.0031) | | | +| ogbg-molsider | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6346 (0.0053) | 0.6445 (0.0359) | 0.6445 (0.0359) | 7.93 | +| ogbg-molsider | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6345 (-0.0175) | 0.6053 (0.0199) | | | +| ogbg-molsider | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6114 (-0.0405) | 0.6071 (0.0218) | 0.6071 (0.0218) | 8.00 | +| ogbg-molsider | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6046 (-0.0179) | 0.6022 (0.0274) | | | +| ogbg-molsider | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.5942 (-0.0283) | 0.5949 (0.0201) | 0.5949 (0.0201) | 8.00 | +| ogbg-molsider | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6151 (-0.0176) | 0.6150 (0.0655) | | | +| ogbg-molsider | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6117 (-0.0209) | 0.6143 (0.0648) | 0.6148 (0.0653) | 7.96 | +| ogbg-molsider | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6010 (0.0089) | 0.5963 (-0.0188) | | | +| ogbg-molsider | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6140 (0.0219) | 0.6069 (-0.0082) | 0.6064 (-0.0087) | 7.92 | +| ogbg-molsider | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6232 (0.0015) | 0.5861 (0.0053) | | | +| ogbg-molsider | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6150 (-0.0068) | 0.6082 (0.0275) | 0.6073 (0.0265) | 7.92 | +| ogbg-molsider | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6190 (-0.0012) | 0.5983 (0.0122) | | | +| ogbg-molsider | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6300 (0.0098) | 0.5843 (-0.0017) | 0.5856 (-0.0005) | 7.87 | +| ogbg-molsider | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6058 (-0.0161) | 0.5721 (-0.0243) | | | +| ogbg-molsider | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.5810 (-0.0408) | 0.5398 (-0.0567) | 0.5398 (-0.0567) | 8.00 | +| ogbg-molsider | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6205 (-0.0005) | 0.5960 (0.0050) | | | +| ogbg-molsider | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6097 (-0.0112) | 0.6246 (0.0335) | 0.6247 (0.0336) | 7.95 | +| ogbg-molsider | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6151 (-0.0022) | 0.6417 (0.0375) | | | +| ogbg-molsider | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.5866 (-0.0308) | 0.6246 (0.0203) | 0.6242 (0.0199) | 7.88 | +| ogbg-molsider | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6410 (-0.0028) | 0.6102 (-0.0041) | | | +| ogbg-molsider | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6329 (-0.0109) | 0.6061 (-0.0082) | 0.6067 (-0.0076) | 7.91 | +| ogbg-molsider | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.6315 (0.0156) | 0.6190 (0.0210) | | | +| ogbg-molsider | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.6288 (0.0128) | 0.6215 (0.0235) | 0.6212 (0.0232) | 7.95 | +| ogbg-moltox21 | appnp | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7280 (0.0025) | 0.7154 (-0.0005) | | | +| ogbg-moltox21 | appnp | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7171 (-0.0083) | 0.7197 (0.0039) | 0.7332 (0.0173) | 2.59 | +| ogbg-moltox21 | arma | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7771 (-0.0028) | 0.7209 (-0.0014) | | | +| ogbg-moltox21 | arma | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7575 (-0.0224) | 0.7162 (-0.0061) | 0.7237 (0.0014) | 2.87 | +| ogbg-moltox21 | cheb | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7710 (-0.0125) | 0.7286 (-0.0015) | | | +| ogbg-moltox21 | cheb | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7824 (-0.0010) | 0.7195 (-0.0105) | 0.7203 (-0.0098) | 3.01 | +| ogbg-moltox21 | film | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7727 (0.0025) | 0.7369 (0.0209) | | | +| ogbg-moltox21 | film | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7513 (-0.0189) | 0.6885 (-0.0275) | 0.6897 (-0.0263) | 3.55 | +| ogbg-moltox21 | gatv2 | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7762 (0.0135) | 0.7303 (0.0143) | | | +| ogbg-moltox21 | gatv2 | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7674 (0.0046) | 0.7155 (-0.0004) | 0.7172 (0.0012) | 4.04 | +| ogbg-moltox21 | gcn | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7588 (0.0007) | 0.7230 (0.0059) | | | +| ogbg-moltox21 | gcn | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7677 (0.0097) | 0.7136 (-0.0035) | 0.7247 (0.0076) | 3.26 | +| ogbg-moltox21 | gen | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7757 (-0.0077) | 0.7312 (-0.0132) | | | +| ogbg-moltox21 | gen | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7548 (-0.0286) | 0.7300 (-0.0144) | 0.7366 (-0.0078) | 3.43 | +| ogbg-moltox21 | gin | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7718 (0.0028) | 0.7237 (-0.0005) | | | +| ogbg-moltox21 | gin | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7634 (-0.0056) | 0.7044 (-0.0198) | 0.7112 (-0.0130) | 4.17 | +| ogbg-moltox21 | gine | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7622 (-0.0122) | 0.7193 (-0.0135) | | | +| ogbg-moltox21 | gine | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7616 (-0.0127) | 0.7120 (-0.0208) | 0.7177 (-0.0151) | 3.93 | +| ogbg-moltox21 | graphconv | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7820 (-0.0011) | 0.7313 (0.0166) | | | +| ogbg-moltox21 | graphconv | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7641 (-0.0191) | 0.7210 (0.0063) | 0.7323 (0.0175) | 4.09 | +| ogbg-moltox21 | graphsage | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7697 (-0.0012) | 0.7205 (0.0009) | | | +| ogbg-moltox21 | graphsage | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7792 (0.0083) | 0.7217 (0.0021) | 0.7282 (0.0087) | 3.39 | +| ogbg-moltox21 | mf | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7695 (-0.0078) | 0.7279 (-0.0002) | | | +| ogbg-moltox21 | mf | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7656 (-0.0117) | 0.7236 (-0.0045) | 0.7314 (0.0034) | 2.96 | +| ogbg-moltox21 | pna | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7745 (0.0085) | 0.7349 (0.0403) | | | +| ogbg-moltox21 | pna | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7625 (-0.0035) | 0.7138 (0.0192) | 0.7200 (0.0254) | 4.06 | +| ogbg-moltox21 | resgated | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7887 (-0.0064) | 0.7380 (0.0104) | | | +| ogbg-moltox21 | resgated | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7737 (-0.0213) | 0.7454 (0.0179) | 0.7449 (0.0173) | 2.78 | +| ogbg-moltox21 | sgc | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7506 (-0.0105) | 0.7355 (0.0115) | | | +| ogbg-moltox21 | sgc | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7669 (0.0058) | 0.7262 (0.0022) | 0.7331 (0.0091) | 3.26 | +| ogbg-moltox21 | tag | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7839 (-0.0027) | 0.7342 (-0.0074) | | | +| ogbg-moltox21 | tag | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7792 (-0.0074) | 0.7195 (-0.0221) | 0.7225 (-0.0190) | 3.32 | +| ogbg-moltox21 | transformer | fixed-rrog-T1-ns3 | rocauc | 1 | 0.7761 (0.0105) | 0.7292 (-0.0018) | | | +| ogbg-moltox21 | transformer | rrog-act-stream-T1-ns3-hm8-min2-loss0.2-lq0.1-hex0.1-qw0 | rocauc | 1 | 0.7840 (0.0184) | 0.7237 (-0.0072) | 0.7242 (-0.0068) | 4.33 | |