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='amazon-Video_Games_5', 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='amazon-Video_Games_5', 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='amazon-Video_Games_5', 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='amazon-Video_Games_5', 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='amazon-Video_Games_5', 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='amazon-Video_Games_5', 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='amazon-Video_Games_5', 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: 0.0645 ± nan
Hits@20:
Test: 0.1813 ± nan
Hits@30:
Test: 0.3424 ± nan
Hits@50:
Test: 0.5881 ± nan
AUC:
Test: 62.2241 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 0.2739 ± nan
Hits@20:
Test: 0.4794 ± nan
Hits@30:
Test: 0.8580 ± nan
Hits@50:
Test: 1.2367 ± nan
AUC:
Test: 64.9529 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 1.7740 ± nan
Hits@20:
Test: 6.6605 ± nan
Hits@30:
Test: 8.6441 ± nan
Hits@50:
Test: 13.5467 ± nan
AUC:
Test: 95.5065 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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=4, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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=4, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 5.2808 ± 1.7418
Hits@20:
Test: 7.9442 ± 0.8395
Hits@30:
Test: 11.5405 ± 1.6456
Hits@50:
Test: 16.0319 ± 1.1613
AUC:
Test: 96.3932 ± 0.2541
All runs:
Hits@10:
Test: 4.7954 ± 0.4724
Hits@20:
Test: 7.8797 ± 1.4585
Hits@30:
Test: 9.6424 ± 0.7340
Hits@50:
Test: 15.6723 ± 1.4009
AUC:
Test: 96.2355 ± 0.2307
Namespace(device=3, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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=4, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 4.6341 ± 1.5230
Hits@20:
Test: 7.6257 ± 1.5829
Hits@30:
Test: 10.1004 ± 1.2325
Hits@50:
Test: 15.0780 ± 3.0979
AUC:
Test: 96.0700 ± 0.4214
All runs:
Hits@10:
Test: 16.8851 ± 2.5422
Hits@20:
Test: 23.2295 ± 2.4441
Hits@30:
Test: 28.7449 ± 3.7900
Hits@50:
Test: 34.6321 ± 3.3987
AUC:
Test: 96.7219 ± 0.1074
Namespace(device=3, 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=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 11.9744 ± 5.9083
Hits@20:
Test: 17.6696 ± 4.7969
Hits@30:
Test: 23.6810 ± 5.5361
Hits@50:
Test: 30.5673 ± 6.0798
AUC:
Test: 96.1487 ± 0.1609
Namespace(device=3, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 16.1206 ± 2.3791
Hits@20:
Test: 22.1473 ± 4.6255
Hits@30:
Test: 27.7031 ± 1.6962
Hits@50:
Test: 34.0386 ± 2.8013
AUC:
Test: 96.6167 ± 0.3124
Namespace(device=3, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 16.6077 ± 3.7594
Hits@20:
Test: 23.5238 ± 2.7796
Hits@30:
Test: 26.8951 ± 2.7039
Hits@50:
Test: 32.8896 ± 2.8029
AUC:
Test: 96.7292 ± 0.0620
Namespace(device=3, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 11.3131 ± nan
Hits@20:
Test: 17.4213 ± nan
Hits@30:
Test: 24.2027 ± nan
Hits@50:
Test: 33.9112 ± nan
AUC:
Test: 96.9265 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 17.7640 ± nan
Hits@20:
Test: 25.5332 ± nan
Hits@30:
Test: 30.5608 ± nan
Hits@50:
Test: 37.8785 ± nan
AUC:
Test: 96.8847 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 17.4656 ± nan
Hits@20:
Test: 26.2186 ± nan
Hits@30:
Test: 29.7141 ± nan
Hits@50:
Test: 33.4274 ± nan
AUC:
Test: 96.9006 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 17.8245 ± nan
Hits@20:
Test: 24.0173 ± nan
Hits@30:
Test: 31.1454 ± nan
Hits@50:
Test: 36.5601 ± nan
AUC:
Test: 96.7972 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 7.2700 ± nan
Hits@20:
Test: 12.9779 ± nan
Hits@30:
Test: 21.7698 ± nan
Hits@50:
Test: 26.2447 ± nan
AUC:
Test: 96.5055 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 7.3020 ± nan
Hits@20:
Test: 12.6692 ± nan
Hits@30:
Test: 15.6723 ± nan
Hits@50:
Test: 21.3072 ± nan
AUC:
Test: 96.3358 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 4.0060 ± nan
Hits@20:
Test: 7.2789 ± nan
Hits@30:
Test: 11.0254 ± nan
Hits@50:
Test: 13.6029 ± nan
AUC:
Test: 95.7277 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 4.0868 ± nan
Hits@20:
Test: 10.3704 ± nan
Hits@30:
Test: 14.6117 ± nan
Hits@50:
Test: 19.4688 ± nan
AUC:
Test: 95.7772 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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: 19.5501 ± nan
Hits@20:
Test: 25.0494 ± nan
Hits@30:
Test: 31.4599 ± nan
Hits@50:
Test: 38.0236 ± nan
AUC:
Test: 96.6374 ± nan
Namespace(device=7, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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=0.0, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Video_Games_5', 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
