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=1, dataset_dir='../data', datasets='tgbl-coin', 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=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=1, dataset_dir='../data', datasets='tgbl-coin', 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=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=1, dataset_dir='../data', datasets='tgbl-coin', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=1024, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-coin', 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=1, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.5, batch_size=16384, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-coin', 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=16384, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-coin', 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=16384, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-coin', 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=16384, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-coin', 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=16384, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-coin', 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-coin', 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: 19.9298 ± nan
Hits@50:
Test: 42.0995 ± nan
Hits@100:
Test: 42.6582 ± nan
AUC:
Test: 96.0946 ± 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-coin', 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=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-coin', 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=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-coin', 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=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-coin', 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=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-coin', 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=2, 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-coin', 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: 0.0000 ± nan
Hits@50:
Test: 0.0000 ± nan
Hits@100:
Test: 0.0000 ± nan
AUC:
Test: 50.0000 ± nan
Namespace(device=2, 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-coin', 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: 25.6828 ± nan
Hits@50:
Test: 60.1552 ± nan
Hits@100:
Test: 60.1552 ± nan
AUC:
Test: 87.7445 ± nan
Namespace(device=2, 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-coin', 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: 3.2712 ± nan
Hits@50:
Test: 0.0000 ± nan
Hits@100:
Test: 34.8230 ± nan
AUC:
Test: 94.7956 ± nan
Namespace(device=2, 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-coin', 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: 16.3527 ± nan
Hits@50:
Test: 0.0167 ± nan
Hits@100:
Test: 27.4286 ± nan
AUC:
Test: 96.9790 ± nan
Namespace(device=2, 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-coin', 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: 27.3382 ± nan
Hits@50:
Test: 31.1578 ± nan
Hits@100:
Test: 0.0000 ± nan
AUC:
Test: 93.2927 ± nan
