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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=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-review', 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=7, 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-review', 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=7, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=1024, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-review', 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=7, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=1024, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-review', 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=7, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.5, batch_size=1024, lr=0.005, epochs=20000, eval_steps=5, runs=5, dataset_dir='../data', datasets='tgbl-review', 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=7, 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-review', 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=7, 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-review', 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=7, 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-review', 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: 0.0705 ± 0.0544
Hits@20:
Test: 0.1403 ± 0.0491
Hits@30:
Test: 0.1509 ± 0.0987
Hits@50:
Test: 0.2476 ± 0.0792
AUC:
Test: 78.4533 ± 0.2464
Namespace(device=0, 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-review', 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=0, 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-review', 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=0, 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-review', 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: 2.0252 ± nan
Hits@50:
Test: 5.4848 ± nan
Hits@100:
Test: 8.0254 ± nan
AUC:
Test: 86.8988 ± nan
Namespace(device=0, 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-review', 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: 1.6713 ± nan
Hits@50:
Test: 4.5361 ± nan
Hits@100:
Test: 6.3271 ± nan
AUC:
Test: 88.4073 ± nan
Namespace(device=5, 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-review', 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: 0.9874 ± nan
Hits@50:
Test: 3.1252 ± nan
Hits@100:
Test: 5.6729 ± nan
AUC:
Test: 88.6347 ± nan
Namespace(device=5, 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-review', 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: 0.9426 ± nan
Hits@50:
Test: 2.9885 ± nan
Hits@100:
Test: 4.6520 ± nan
AUC:
Test: 87.5506 ± nan
Namespace(device=5, 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-review', 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: 0.6019 ± nan
Hits@50:
Test: 2.3352 ± nan
Hits@100:
Test: 4.1787 ± nan
AUC:
Test: 83.1770 ± nan
Namespace(device=5, 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-review', 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: 0.7253 ± nan
Hits@50:
Test: 1.8362 ± nan
Hits@100:
Test: 2.9687 ± nan
AUC:
Test: 82.4061 ± nan
Namespace(device=5, 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-review', 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: 0.5154 ± nan
Hits@50:
Test: 1.3693 ± nan
Hits@100:
Test: 2.8085 ± nan
AUC:
Test: 84.5678 ± 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-review', 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: 1.8529 ± nan
Hits@50:
Test: 4.5864 ± nan
Hits@100:
Test: 6.8143 ± nan
AUC:
Test: 88.3562 ± 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-review', 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: 0.9610 ± nan
Hits@50:
Test: 3.8158 ± nan
Hits@100:
Test: 5.0375 ± nan
AUC:
Test: 86.1420 ± 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-review', 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: 0.6265 ± nan
Hits@50:
Test: 2.2687 ± nan
Hits@100:
Test: 3.9616 ± nan
AUC:
Test: 83.5435 ± 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-review', 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: 0.6799 ± nan
Hits@50:
Test: 1.8992 ± nan
Hits@100:
Test: 2.7639 ± nan
AUC:
Test: 83.6888 ± 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-review', 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: 0.5244 ± nan
Hits@50:
Test: 1.7446 ± nan
Hits@100:
Test: 2.6068 ± nan
AUC:
Test: 84.6591 ± 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-review', predictor='mlp', patience=10, 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: 1.9661 ± nan
Hits@50:
Test: 4.4689 ± nan
Hits@100:
Test: 6.7510 ± nan
AUC:
Test: 88.1832 ± 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-review', predictor='mlp', patience=10, 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: 1.0355 ± nan
Hits@50:
Test: 3.4034 ± nan
Hits@100:
Test: 5.3144 ± nan
AUC:
Test: 85.6597 ± 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-review', predictor='mlp', patience=10, 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: 0.9833 ± nan
Hits@50:
Test: 2.4308 ± nan
Hits@100:
Test: 3.9830 ± nan
AUC:
Test: 82.9308 ± 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-review', predictor='mlp', patience=10, 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: 0.4499 ± nan
Hits@50:
Test: 1.9599 ± nan
Hits@100:
Test: 3.4337 ± nan
AUC:
Test: 82.7150 ± 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-review', predictor='mlp', patience=10, 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: 0.6384 ± nan
Hits@50:
Test: 1.9640 ± nan
Hits@100:
Test: 2.9611 ± nan
AUC:
Test: 84.6128 ± 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-review', 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=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-review', 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
Namespace(device=4, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.5, batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-review', 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: 0.3219 ± nan
Hits@50:
Test: 2.4135 ± nan
Hits@100:
Test: 4.7470 ± nan
AUC:
Test: 84.8381 ± 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-review', predictor='mlp', patience=10, 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=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='tgbl-review', predictor='mlp', patience=10, 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: 0.7367 ± nan
Hits@50:
Test: 2.8543 ± nan
Hits@100:
Test: 4.9564 ± nan
AUC:
Test: 85.3731 ± nan
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='tgbl-review', predictor='mlp', patience=10, 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: 0.8092 ± nan
Hits@50:
Test: 2.0894 ± nan
Hits@100:
Test: 3.6686 ± nan
AUC:
Test: 82.1625 ± nan
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='tgbl-review', predictor='mlp', patience=10, 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: 0.1751 ± nan
Hits@50:
Test: 0.9730 ± nan
Hits@100:
Test: 2.2600 ± nan
AUC:
Test: 79.9810 ± nan
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='tgbl-review', predictor='mlp', patience=10, 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: 0.0771 ± nan
Hits@50:
Test: 1.5954 ± nan
Hits@100:
Test: 2.0516 ± nan
AUC:
Test: 78.0826 ± nan
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='tgbl-review', predictor='mlp', patience=10, 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: 0.0827 ± nan
Hits@50:
Test: 0.9927 ± nan
Hits@100:
Test: 1.9621 ± nan
AUC:
Test: 80.9447 ± nan
