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-computers', 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-computers', 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: 22.7325 ± 2.2376
Hits@20:
Test: 30.6557 ± 1.9829
Hits@30:
Test: 37.7516 ± 2.6555
Hits@50:
Test: 46.5940 ± 3.0037
AUC:
Test: 98.7631 ± 0.0290
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-computers', 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: 23.1734 ± 0.5507
Hits@20:
Test: 29.4298 ± 2.2201
Hits@30:
Test: 38.6862 ± 1.6624
Hits@50:
Test: 47.3212 ± 1.3570
AUC:
Test: 98.7511 ± 0.0257
