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classification_TU.sh
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# D&D
python main.py --type classification_TU \
--data DD \
--model GMT \
--model-string GMPool_G-SelfAtt-GMPool_I \
--gpu $1 \
--experiment-number $2 \
--batch-size 10 \
--num-hidden 32 \
--num-heads 4 \
--lr-schedule \
--cluster
# # PROTEINS
# python main.py --type classification_TU \
# --data PROTEINS \
# --model GMT \
# --model-string GMPool_G-SelfAtt-GMPool_I \
# --gpu $1 \
# --experiment-number $2 \
# --batch-size 128 \
# --num-hidden 128 \
# --num-heads 2 \
# --lr-schedule \
# --cluster
# # MUTAG
# python main.py --type classification_TU \
# --data MUTAG \
# --model GMT \
# --model-string GMPool_G-SelfAtt-GMPool_I \
# --gpu $1 \
# --experiment-number $2 \
# --batch-size 128 \
# --num-hidden 128 \
# --num-heads 4 \
# --ln \
# --lr-schedule \
# --cluster
# # IMDB-B
# python main.py --type classification_TU \
# --data IMDB-BINARY \
# --model GMT \
# --model-string GMPool_G-SelfAtt-GMPool_I \
# --gpu $1 \
# --experiment-number $2 \
# --batch-size 128 \
# --num-hidden 128 \
# --num-heads 1 \
# --lr-schedule \
# --cluster
# # IMDB-M
# python main.py --type classification_TU \
# --data IMDB-MULTI \
# --model GMT \
# --model-string GMPool_G-SelfAtt-GMPool_I \
# --gpu $1 \
# --experiment-number $2 \
# --batch-size 128 \
# --num-hidden 128 \
# --num-heads 1 \
# --lr-schedule \
# --cluster
# # COLLAB
# python main.py --type classification_TU \
# --data COLLAB \
# --model GMT \
# --model-string GMPool_G-SelfAtt-GMPool_I \
# --gpu $1 \
# --experiment-number $2 \
# --batch-size 128 \
# --num-hidden 128 \
# --num-heads 2 \
# --lr-schedule \
# --cluster