Namespace(device=0, log_steps=1, encoder='GCN', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-photos', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False)GCN as the encoder
Namespace(device=0, log_steps=1, encoder='gcn', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-photos', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False)gcn as the encoder
Namespace(device=0, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-photos', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False)sage as the encoder
All runs:
Hits@10:
Test: 34.7817 ± 4.4451
Hits@20:
Test: 49.2425 ± 5.7977
Hits@30:
Test: 58.3003 ± 4.6039
Hits@50:
Test: 65.8750 ± 3.4235
AUC:
Test: 98.9406 ± 0.0681
Namespace(device=0, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=10, dataset_dir='../data', datasets='amazon-photos', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False)sage as the encoder
