# name in config.py; short name; range to search

# task: node, dataset: syn; model: gnn
dataset.format format ['nx']
dataset.name dataset ['ws','ba']
dataset.transform transform ['none']
dataset.task task ['link_pred']
dataset.transductive trans [False]
dataset.augment_feature feature [[],['node_identity']]
dataset.augment_label label ['']
gnn.layers_pre_mp l_pre [1]
gnn.layers_mp l_mp [5]
gnn.layers_post_mp l_post [1]
gnn.layer_type layer ['gcnconv','sageconv','gatconv','ginconv']
optim.max_epoch epoch [100]
train.batch_size batch [32]


# task: node, dataset: syn; model: idgnn
dataset.format format ['nx']
dataset.name dataset ['ws','ba']
dataset.transform transform ['edge']
dataset.task task ['link_pred']
dataset.transductive trans [False]
dataset.augment_feature feature [[]]
dataset.augment_label label ['']
gnn.layers_pre_mp l_pre [1]
gnn.layers_mp l_mp [5]
gnn.layers_post_mp l_post [1]
gnn.layer_type layer ['gcnidconv','sageidconv','gatidconv','ginidconv']
optim.max_epoch epoch [100]
train.batch_size batch [32]

# task: node, dataset: real; model: gnn
dataset.format format ['PyG']
dataset.name dataset ['TU_ENZYMES','TU_PROTEINS']
dataset.transform transform ['none']
dataset.task task ['link_pred']
dataset.transductive trans [False]
dataset.augment_feature feature [[],['node_identity']]
dataset.augment_label label ['']
gnn.layers_pre_mp l_pre [1]
gnn.layers_mp l_mp [5]
gnn.layers_post_mp l_post [1]
gnn.layer_type layer ['gcnconv','sageconv','gatconv','ginconv']
optim.max_epoch epoch [100]
train.batch_size batch [8]


# task: node, dataset: real; model: idgnn
dataset.format format ['PyG']
dataset.name dataset ['TU_ENZYMES','TU_PROTEINS']
dataset.transform transform ['edge']
dataset.task task ['link_pred']
dataset.transductive trans [False]
dataset.augment_feature feature [[]]
dataset.augment_label label ['']
gnn.layers_pre_mp l_pre [1]
gnn.layers_mp l_mp [5]
gnn.layers_post_mp l_post [1]
gnn.layer_type layer ['gcnidconv','sageidconv','gatidconv','ginidconv']
optim.max_epoch epoch [100]
train.batch_size batch [8]
