diff options
Diffstat (limited to 'experiments/run_hero_extras.py')
| -rw-r--r-- | experiments/run_hero_extras.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/experiments/run_hero_extras.py b/experiments/run_hero_extras.py index c6fed4d..ced76b8 100644 --- a/experiments/run_hero_extras.py +++ b/experiments/run_hero_extras.py @@ -1,8 +1,8 @@ #!/usr/bin/env python3 """E0a+E0c+E0e: hero-table coverage expansion. Adds 3 datasets (PubMed stack, -Coauthor-Physics, Coauthor-CS) × 5 methods (BP, DFA, DFA-GNN, GRAFT, -GRAFT+ResGCN) × 20 seeds, all GCN L=6. Goal: 6-row hero table of homophilous -citation/coauthor graphs where GRAFT or GRAFT+ResGCN is best per row.""" +Coauthor-Physics, Coauthor-CS) × 5 methods (BP, DFA, DFA-GNN, KAFT, +KAFT+ResGCN) × 20 seeds, all GCN L=6. Goal: 6-row hero table of homophilous +citation/coauthor graphs where KAFT or KAFT+ResGCN is best per row.""" import torch import numpy as np @@ -10,7 +10,7 @@ import json import os from scipy import stats as scipy_stats from src.data import load_dataset, spmm -from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, GraphGrAPETrainer +from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, KAFTTrainer from run_deep_baselines import ResGCNTrainer from run_combo_20seeds import GRAFTResGCN from run_large_graph_scout import load_and_check @@ -54,8 +54,8 @@ METHODS = { 'BP': (BPTrainer, {}), 'DFA': (DFATrainer, dfagnn_extra), 'DFA-GNN': (DFAGNNTrainer, dfagnn_extra), - 'GRAFT': (GraphGrAPETrainer, grape_extra), - 'GRAFT+ResGCN': (GRAFTResGCN, grape_extra), + 'KAFT': (KAFTTrainer, grape_extra), + 'KAFT+ResGCN': (GRAFTResGCN, grape_extra), } |