Namespace(device=0, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 3.0789 ± nan
Hits@20:
Test: 5.4029 ± nan
Hits@30:
Test: 6.9786 ± nan
Hits@50:
Test: 8.6526 ± nan
AUC:
Test: 95.4104 ± nan
All runs:
Hits@10:
Test: 3.0789 ± nan
Hits@20:
Test: 5.4029 ± nan
Hits@30:
Test: 6.9786 ± nan
Hits@50:
Test: 8.6526 ± nan
AUC:
Test: 95.4104 ± nan
Namespace(device=5, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=2, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=4, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 3.5752 ± nan
Hits@20:
Test: 5.6014 ± nan
Hits@30:
Test: 7.7698 ± nan
Hits@50:
Test: 9.2682 ± nan
AUC:
Test: 94.8110 ± nan
All runs:
Hits@10:
Test: 3.5752 ± nan
Hits@20:
Test: 5.6014 ± nan
Hits@30:
Test: 7.7698 ± nan
Hits@50:
Test: 9.2682 ± nan
AUC:
Test: 95.6902 ± nan
Namespace(device=5, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
Namespace(device=5, log_steps=1, encoder='sage', num_layers=6, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 4.8922 ± nan
Hits@20:
Test: 6.2733 ± nan
Hits@30:
Test: 8.0065 ± nan
Hits@50:
Test: 10.9641 ± nan
AUC:
Test: 95.6374 ± nan
Namespace(device=6, log_steps=1, encoder='mlp', num_layers=2, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.005, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 5.3246 ± nan
Hits@20:
Test: 7.5770 ± nan
Hits@30:
Test: 10.9966 ± nan
Hits@50:
Test: 13.9848 ± nan
AUC:
Test: 96.0880 ± nan
All runs:
Hits@10:
Test: 3.9016 ± nan
Hits@20:
Test: 4.7195 ± nan
Hits@30:
Test: 7.0521 ± nan
Hits@50:
Test: 10.3447 ± nan
AUC:
Test: 94.8973 ± nan
All runs:
Hits@10:
Test: 6.5663 ± nan
Hits@20:
Test: 9.8026 ± nan
Hits@30:
Test: 10.1090 ± nan
Hits@50:
Test: 12.8090 ± nan
AUC:
Test: 95.7687 ± nan
Namespace(device=3, log_steps=1, encoder='sage', num_layers=5, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.0001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 5.6672 ± nan
Hits@20:
Test: 8.6612 ± nan
Hits@30:
Test: 11.5043 ± nan
Hits@50:
Test: 15.0394 ± nan
AUC:
Test: 96.4925 ± nan
All runs:
Hits@10:
Test: 5.6672 ± nan
Hits@20:
Test: 8.6612 ± nan
Hits@30:
Test: 11.5043 ± nan
Hits@50:
Test: 15.0394 ± nan
AUC:
Test: 96.4925 ± nan
Namespace(device=4, log_steps=1, encoder='sage', num_layers=5, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=3e-05, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='amazon-Pet_Supplies_5', predictor='mlp', patience=100, metric='Hits@20', use_valedges_as_input=False, True_label=0.1, KD_RM=0.0, KD_LM=0.0, LLP_D=1.0, LLP_R=1.0, margin=0.1, rw_step=3, ns_rate=1, hops=2, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.5, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 6.8822 ± nan
Hits@20:
Test: 9.6900 ± nan
Hits@30:
Test: 12.1581 ± nan
Hits@50:
Test: 16.8089 ± nan
AUC:
Test: 96.7178 ± nan
All runs:
Hits@10:
Test: 6.8822 ± nan
Hits@20:
Test: 9.6900 ± nan
Hits@30:
Test: 12.1581 ± nan
Hits@50:
Test: 16.8089 ± nan
AUC:
Test: 96.7178 ± nan
