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#!/usr/bin/env bash
# Roadmap #2: RRoG on a GSN-style motif backbone (per-node K3/wedge substructure counts).
# full-recursion, 5 seeds; train + LE + PTRM(sigma=0.2). Aggregate vs none/rwse.
set -uo pipefail
cd /home/yurenh2/rrog
export PYTHONPATH=/home/yurenh2/rrog
echo "host=$(hostname) gpu=${CUDA_VISIBLE_DEVICES:-?} start=$(date -Is)"
for s in 0 1 2 3 4; do
ck=runs/ckpt_color_full_gsn_n50_k3_p0.2_T3_ns3_s${s}.pt
echo "===== seed=$s full gsn ====="
python3 diag/train_color.py --mode train --grad_mode full --pe gsn --p 0.2 --epochs 150 --seed "$s" \
|| echo "!! train gsn s$s failed"
python3 diag/train_color.py --mode le --ckpt "$ck" || echo "!! le gsn s$s failed"
python3 diag/ptrm_color.py --ckpt "$ck" --K 16 --n_graphs 150 --sigmas 0.2 || echo "!! ptrm gsn s$s failed"
done
echo "===== AGGREGATE (all pe: none/rwse/gsn) ====="
python3 diag/aggregate.py
echo "done=$(date -Is)"
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