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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5)sage as the encoder
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5)sage as the encoder
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5)sage as the encoder
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5)sage as the encoder
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5)sage as the encoder
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8)sage as the encoder
All runs:
Hits@10:
Test: 2.5984 ± 0.8794
Hits@50:
Test: 5.5347 ± 0.9023
Hits@100:
Test: 10.5156 ± 3.5380
AUC:
Test: 84.9197 ± 0.1443
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='tgbl-wiki', 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=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='tgbl-wiki', 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=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='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8)sage as the encoder
All runs:
Hits@10:
Test: 1.6053 ± 1.4873
Hits@50:
Test: 5.7582 ± 3.3533
Hits@100:
Test: 8.2347 ± 5.6777
AUC:
Test: 84.8923 ± 0.2238
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
All runs:
Hits@10:
Test: 8.1617 ± 5.4144
Hits@50:
Test: 35.7459 ± 15.8353
Hits@100:
Test: 35.3417 ± 11.7862
AUC:
Test: 89.3219 ± 0.9303
Namespace(device=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
All runs:
Hits@10:
Test: 0.0000 ± 0.0000
Hits@50:
Test: 100.0000 ± 0.0000
Hits@100:
Test: 100.0000 ± 0.0000
AUC:
Test: 83.4998 ± 0.1039
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
All runs:
Hits@10:
Test: 1.8182 ± 2.0149
Hits@50:
Test: 1.0515 ± 1.4910
Hits@100:
Test: 1.1939 ± 2.6696
AUC:
Test: 90.2234 ± 0.5408
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=1.0)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7)sage as the encoder
Namespace(device=4, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7)sage as the encoder
All runs:
Hits@10:
Test: 87.3911 ± 0.0000
Hits@50:
Test: 87.3911 ± 0.0000
Hits@100:
Test: 69.9129 ± 39.0825
AUC:
Test: 97.7159 ± 0.0000
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 87.3911 ± nan
Hits@50:
Test: 87.3911 ± nan
Hits@100:
Test: 87.3911 ± nan
AUC:
Test: 97.6301 ± nan
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 87.3911 ± nan
Hits@50:
Test: 87.3911 ± nan
Hits@100:
Test: 87.3911 ± nan
AUC:
Test: 97.7399 ± nan
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 87.3911 ± nan
Hits@50:
Test: 87.3911 ± nan
Hits@100:
Test: 87.3911 ± nan
AUC:
Test: 97.7182 ± nan
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 87.3911 ± nan
Hits@50:
Test: 87.3911 ± nan
Hits@100:
Test: 87.3911 ± nan
AUC:
Test: 97.7445 ± nan
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 87.3911 ± nan
Hits@50:
Test: 87.3911 ± nan
Hits@100:
Test: 87.3911 ± nan
AUC:
Test: 97.7925 ± nan
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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 85.4712 ± nan
Hits@50:
Test: 85.4712 ± nan
Hits@100:
Test: 85.4712 ± nan
AUC:
Test: 97.5755 ± nan
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 0.0000 ± nan
Hits@50:
Test: 0.0000 ± nan
Hits@100:
Test: 0.0000 ± nan
AUC:
Test: 93.2939 ± nan
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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 0.0000 ± nan
Hits@50:
Test: 0.0000 ± nan
Hits@100:
Test: 0.0000 ± nan
AUC:
Test: 90.7223 ± nan
Namespace(device=0, log_steps=1, encoder='sage', num_layers=5, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
Namespace(device=6, log_steps=1, encoder='sage', num_layers=5, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 20.6629 ± nan
Hits@50:
Test: 45.9106 ± nan
Hits@100:
Test: 60.5283 ± nan
AUC:
Test: 98.0820 ± nan
Namespace(device=6, 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=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 24.8666 ± nan
Hits@50:
Test: 47.7394 ± nan
Hits@100:
Test: 60.7315 ± nan
AUC:
Test: 97.9928 ± nan
Namespace(device=6, 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='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 0.0000 ± nan
Hits@50:
Test: 0.0000 ± nan
Hits@100:
Test: 0.0000 ± nan
AUC:
Test: 90.3348 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 22.5806 ± nan
Hits@50:
Test: 40.4369 ± nan
Hits@100:
Test: 61.7983 ± nan
AUC:
Test: 97.9802 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 29.9594 ± nan
Hits@50:
Test: 50.9652 ± nan
Hits@100:
Test: 70.9169 ± nan
AUC:
Test: 97.9336 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 27.2670 ± nan
Hits@50:
Test: 43.3452 ± nan
Hits@100:
Test: 63.8684 ± nan
AUC:
Test: 98.0578 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 21.1201 ± nan
Hits@50:
Test: 45.4534 ± nan
Hits@100:
Test: 62.2936 ± nan
AUC:
Test: 97.9507 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 29.1989 ± nan
Hits@50:
Test: 41.5917 ± nan
Hits@100:
Test: 51.8362 ± nan
AUC:
Test: 96.8788 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 21.0722 ± nan
Hits@50:
Test: 30.9416 ± nan
Hits@100:
Test: 32.6197 ± nan
AUC:
Test: 96.3687 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 25.6946 ± nan
Hits@50:
Test: 36.9424 ± nan
Hits@100:
Test: 36.4740 ± nan
AUC:
Test: 97.1034 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.9, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 16.1928 ± nan
Hits@50:
Test: 31.3554 ± nan
Hits@100:
Test: 27.4889 ± nan
AUC:
Test: 96.7380 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 27.0892 ± nan
Hits@50:
Test: 43.3071 ± nan
Hits@100:
Test: 65.4813 ± nan
AUC:
Test: 98.0768 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 24.1173 ± nan
Hits@50:
Test: 43.8405 ± nan
Hits@100:
Test: 60.2743 ± nan
AUC:
Test: 98.1652 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 24.6761 ± nan
Hits@50:
Test: 39.8273 ± nan
Hits@100:
Test: 63.9065 ± nan
AUC:
Test: 98.0474 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 18.8468 ± nan
Hits@50:
Test: 37.0079 ± nan
Hits@100:
Test: 62.4333 ± nan
AUC:
Test: 98.0583 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 22.3304 ± nan
Hits@50:
Test: 40.7768 ± nan
Hits@100:
Test: 45.9943 ± nan
AUC:
Test: 97.8778 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 17.5163 ± nan
Hits@50:
Test: 25.2358 ± nan
Hits@100:
Test: 38.8969 ± nan
AUC:
Test: 97.2319 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 20.8287 ± nan
Hits@50:
Test: 35.0056 ± nan
Hits@100:
Test: 44.2372 ± nan
AUC:
Test: 97.2790 ± nan
Namespace(device=6, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.9, time_increment='day')sage as the encoder
All runs:
Hits@10:
Test: 12.8202 ± nan
Hits@50:
Test: 30.4099 ± nan
Hits@100:
Test: 32.2374 ± nan
AUC:
Test: 96.8151 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 10.6204 ± nan
Hits@50:
Test: 19.2601 ± nan
Hits@100:
Test: 24.6670 ± nan
AUC:
Test: 84.3001 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 8.9015 ± nan
Hits@50:
Test: 12.8515 ± nan
Hits@100:
Test: 15.2191 ± nan
AUC:
Test: 85.1506 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 16.5168 ± nan
Hits@50:
Test: 23.2442 ± nan
Hits@100:
Test: 28.8902 ± nan
AUC:
Test: 87.4558 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=500, 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
All runs:
Hits@10:
Test: 19.6813 ± nan
Hits@50:
Test: 31.3261 ± nan
Hits@100:
Test: 36.1639 ± nan
AUC:
Test: 86.0499 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.9, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 5.8509 ± nan
Hits@50:
Test: 8.1958 ± nan
Hits@100:
Test: 11.7245 ± nan
AUC:
Test: 80.0852 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 5.9340 ± nan
Hits@50:
Test: 7.8252 ± nan
Hits@100:
Test: 15.0618 ± nan
AUC:
Test: 83.0057 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=3, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 6.3062 ± nan
Hits@50:
Test: 10.5521 ± nan
Hits@100:
Test: 15.2760 ± nan
AUC:
Test: 82.3193 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 37.7462 ± nan
Hits@50:
Test: 54.3199 ± nan
Hits@100:
Test: 59.4422 ± nan
AUC:
Test: 88.1074 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=1, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 0.5919 ± nan
Hits@50:
Test: 1.6278 ± nan
Hits@100:
Test: 2.2425 ± nan
AUC:
Test: 50.8130 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=1, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 0.3187 ± nan
Hits@50:
Test: 0.9334 ± nan
Hits@100:
Test: 2.0034 ± nan
AUC:
Test: 51.2109 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=1, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 0.6716 ± nan
Hits@50:
Test: 1.9010 ± nan
Hits@100:
Test: 2.2083 ± nan
AUC:
Test: 51.9010 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 7.6494 ± nan
Hits@50:
Test: 13.4092 ± nan
Hits@100:
Test: 14.4565 ± nan
AUC:
Test: 83.1521 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 2.6727 ± nan
Hits@50:
Test: 7.0629 ± nan
Hits@100:
Test: 9.2918 ± nan
AUC:
Test: 78.9957 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 1.6580 ± nan
Hits@50:
Test: 4.7061 ± nan
Hits@100:
Test: 7.2936 ± nan
AUC:
Test: 77.7392 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 45.7257 ± nan
Hits@50:
Test: 61.3546 ± nan
Hits@100:
Test: 64.2231 ± nan
AUC:
Test: 88.6563 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 38.3443 ± nan
Hits@50:
Test: 58.5681 ± nan
Hits@100:
Test: 62.0417 ± nan
AUC:
Test: 88.9464 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 40.8307 ± nan
Hits@50:
Test: 56.6069 ± nan
Hits@100:
Test: 62.1253 ± nan
AUC:
Test: 85.2620 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 42.5507 ± nan
Hits@50:
Test: 57.5677 ± nan
Hits@100:
Test: 62.5388 ± nan
AUC:
Test: 87.9784 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.9, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 45.0215 ± nan
Hits@50:
Test: 62.2193 ± nan
Hits@100:
Test: 66.2802 ± nan
AUC:
Test: 89.7487 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 41.0245 ± nan
Hits@50:
Test: 57.5982 ± nan
Hits@100:
Test: 61.2863 ± nan
AUC:
Test: 87.2872 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 23.0606 ± nan
Hits@50:
Test: 44.3844 ± nan
Hits@100:
Test: 54.8823 ± nan
AUC:
Test: 88.4263 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 26.3691 ± nan
Hits@50:
Test: 53.1318 ± nan
Hits@100:
Test: 60.9027 ± nan
AUC:
Test: 88.5501 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 39.9545 ± nan
Hits@50:
Test: 54.9915 ± nan
Hits@100:
Test: 60.3984 ± nan
AUC:
Test: 88.6848 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 38.2864 ± nan
Hits@50:
Test: 56.0208 ± nan
Hits@100:
Test: 63.7109 ± nan
AUC:
Test: 88.7040 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 46.7160 ± nan
Hits@50:
Test: 55.7997 ± nan
Hits@100:
Test: 60.6602 ± nan
AUC:
Test: 88.4970 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 39.2032 ± nan
Hits@50:
Test: 57.4047 ± nan
Hits@100:
Test: 62.6295 ± nan
AUC:
Test: 88.0890 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 40.9903 ± nan
Hits@50:
Test: 58.9300 ± nan
Hits@100:
Test: 62.5953 ± nan
AUC:
Test: 87.2845 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.6, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 40.9591 ± nan
Hits@50:
Test: 55.3261 ± nan
Hits@100:
Test: 60.1795 ± nan
AUC:
Test: 86.9378 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)sage as the encoder
Namespace(device=4, log_steps=1, encoder='mlp', num_layers=4, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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)mlp as the encoder
All runs:
Hits@10:
Test: 27.3656 ± nan
Hits@50:
Test: 49.5562 ± nan
Hits@100:
Test: 56.1380 ± nan
AUC:
Test: 85.7233 ± nan
Namespace(device=4, log_steps=1, encoder='mlp', num_layers=4, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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)mlp as the encoder
All runs:
Hits@10:
Test: 16.5168 ± nan
Hits@50:
Test: 40.0114 ± nan
Hits@100:
Test: 55.4809 ± nan
AUC:
Test: 81.7161 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.8, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 41.5964 ± nan
Hits@50:
Test: 58.8475 ± nan
Hits@100:
Test: 62.1912 ± nan
AUC:
Test: 87.7371 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, transductive='transductive', minibatch=False, ts_quantile=0.9, time_increment='day', max_cnt=14)sage as the encoder
All runs:
Hits@10:
Test: 39.9801 ± nan
Hits@50:
Test: 62.7956 ± nan
Hits@100:
Test: 66.6380 ± nan
AUC:
Test: 89.6210 ± nan
Namespace(device=4, log_steps=1, encoder='mlp', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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)mlp as the encoder
All runs:
Hits@10:
Test: 32.6010 ± nan
Hits@50:
Test: 54.2629 ± nan
Hits@100:
Test: 59.6699 ± nan
AUC:
Test: 85.6218 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-wiki', 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
All runs:
Hits@10:
Test: 51.3489 ± nan
Hits@50:
Test: 60.8082 ± nan
Hits@100:
Test: 63.2214 ± nan
AUC:
Test: 86.4659 ± nan
