Namespace(device=1, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='cora', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5)sage as the encoder
All runs:
Hits@10:
Test: 67.3245 ± 1.7151
Hits@20:
Test: 75.1423 ± 2.1002
Hits@30:
Test: 80.0759 ± 3.0420
Hits@50:
Test: 85.0854 ± 2.9045
AUC:
Test: 95.3424 ± 0.2337
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='cora', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8)sage as the encoder
Namespace(device=0, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='cora', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=0, log_steps=1, encoder='gcn', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='cora', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False)gcn as the encoder
