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config.py
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config.py
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def config(args):
'''
Configure details for each dataset.
'''
if 'FB' in args.data_dir:
args.bandwidth = 400
args.num_epochs = 100
args.num_wait_epochs = 50
args.num_peek_epochs = 2
args.batch_size = 256 # 128
args.train_batch_size = 256 # 128
args.dev_batch_size = 4 # 2
args.grad_norm = 0
args.emb_dropout_rate = 0.3
args.ff_dropout_rate = 0.1
args.action_dropout_rate = 0.5
args.beta = 0.02
args.beam_size = 128
# ARGCN
args.neigh_dropout = 0.3
args.node_dropout = 0.3
# Augmentation link
args.aug_link_threshold = 0.1
args.aug_link_support_threshold = 1.0
elif 'WN' in args.data_dir:
args.bandwidth = 256
args.num_epochs = 50 # 20
args.num_wait_epochs = 50 # 20
args.num_peek_epochs = 1
args.batch_size = 1024
args.train_batch_size = 1024
args.dev_batch_size = 128
args.grad_norm = 0
args.emb_dropout_rate = 0.5
args.ff_dropout_rate = 0.3
args.action_dropout_rate = 0.5
args.beta = 0
args.beam_size = 128
# ARGCN
args.neigh_dropout = 0.7
args.node_dropout = 0.7
# Augmentation Link
args.aug_link_threshold = 0.3
args.aug_link_support_threshold = 1.0
elif 'NELL' in args.data_dir:
args.bandwidth = 400
args.num_epochs = 1000
args.num_wait_epochs = 100
args.num_peek_epochs = 1
args.bucket_interval = 10
args.batch_size = 256
args.train_batch_size = 256
args.dev_batch_size = 32
args.grad_norm = 5
args.emb_dropout_rate = 0.3
args.ff_dropout_rate = 0.1
args.action_dropout_rate = 0.0
args.beta = 0.05
args.beam_size = 128
# ARGCN
args.neigh_dropout = 0.3
args.node_dropout = 0.7
# Augmentation link
args.aug_link_threshold = 0.1
args.aug_link_support_threshold = 1.0