Namespace(device=3, 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=3e-05, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', 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: 71.7348 ± nan
Hits@20:
Test: 79.8205 ± nan
Hits@30:
Test: 81.8681 ± nan
Hits@50:
Test: 85.1442 ± nan
AUC:
Test: 97.4910 ± nan
All runs:
Hits@10:
Test: 71.7348 ± nan
Hits@20:
Test: 79.8205 ± nan
Hits@30:
Test: 81.8681 ± nan
Hits@50:
Test: 85.1442 ± nan
AUC:
Test: 98.4063 ± nan
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', predictor='mlp', patience=200, 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=3, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 71.7463 ± nan
Hits@20:
Test: 80.3624 ± nan
Hits@30:
Test: 86.0044 ± nan
Hits@50:
Test: 88.6973 ± nan
AUC:
Test: 98.3798 ± nan
All runs:
Hits@10:
Test: 71.7463 ± nan
Hits@20:
Test: 80.3624 ± nan
Hits@30:
Test: 86.0044 ± nan
Hits@50:
Test: 88.6973 ± nan
AUC:
Test: 99.1370 ± nan
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', predictor='mlp', patience=200, 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=3, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 53.5659 ± nan
Hits@20:
Test: 66.4925 ± nan
Hits@30:
Test: 71.6157 ± nan
Hits@50:
Test: 74.7642 ± nan
AUC:
Test: 98.5973 ± nan
All runs:
Hits@10:
Test: 53.5659 ± nan
Hits@20:
Test: 66.4925 ± nan
Hits@30:
Test: 71.6157 ± nan
Hits@50:
Test: 74.7642 ± nan
AUC:
Test: 98.5973 ± nan
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', predictor='mlp', patience=200, 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=3, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 57.6220 ± nan
Hits@20:
Test: 63.1099 ± nan
Hits@30:
Test: 71.0677 ± nan
Hits@50:
Test: 74.2773 ± nan
AUC:
Test: 98.6332 ± nan
All runs:
Hits@10:
Test: 57.6220 ± nan
Hits@20:
Test: 63.1099 ± nan
Hits@30:
Test: 71.0677 ± nan
Hits@50:
Test: 74.2773 ± nan
AUC:
Test: 98.6762 ± nan
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', predictor='mlp', patience=200, 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=3, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 51.8728 ± nan
Hits@20:
Test: 61.7561 ± nan
Hits@30:
Test: 67.4595 ± nan
Hits@50:
Test: 74.2519 ± nan
AUC:
Test: 98.8109 ± nan
All runs:
Hits@10:
Test: 51.8728 ± nan
Hits@20:
Test: 61.7561 ± nan
Hits@30:
Test: 67.4595 ± nan
Hits@50:
Test: 74.2519 ± nan
AUC:
Test: 98.8109 ± nan
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', predictor='mlp', patience=200, 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=3, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 59.0571 ± nan
Hits@20:
Test: 64.9691 ± nan
Hits@30:
Test: 71.4867 ± nan
Hits@50:
Test: 73.8888 ± nan
AUC:
Test: 98.7716 ± nan
All runs:
Hits@10:
Test: 59.0571 ± nan
Hits@20:
Test: 64.9691 ± nan
Hits@30:
Test: 71.4867 ± nan
Hits@50:
Test: 73.8888 ± nan
AUC:
Test: 98.7716 ± nan
Namespace(device=1, log_steps=1, encoder='sage', num_layers=3, hidden_channels=256, dropout=0.0, link_batch_size=65536, batch_size=65536, node_batch_size=65536, lr=0.001, epochs=20000, eval_steps=5, runs=1, dataset_dir='../data', datasets='reddit', predictor='mlp', patience=200, 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=3, ps_method='nb', transductive='transductive', minibatch=False, ts_quantile=0.7, time_increment='day', max_cnt=14)
LLP (Relational Distillation)
All runs:
Hits@10:
Test: 59.7510 ± nan
Hits@20:
Test: 65.5680 ± nan
Hits@30:
Test: 70.2127 ± nan
Hits@50:
Test: 74.0110 ± nan
AUC:
Test: 98.7154 ± nan
All runs:
Hits@10:
Test: 59.7510 ± nan
Hits@20:
Test: 65.5680 ± nan
Hits@30:
Test: 70.2127 ± nan
Hits@50:
Test: 74.0110 ± nan
AUC:
Test: 98.9095 ± nan
