/data/home/weiyb/miniconda3/envs/NLGraph/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
/data/home/weiyb/miniconda3/envs/NLGraph/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.
  warnings.warn(msg)
cat_node_feat_mf:  False
cat_n2v_feat:  False
Namespace(use_val_edges_as_input=False, data_name='cora', neg_mode='equal', gnn_model='GCN', score_model='mlp_score', load=None, loadmod=False, savemod=False, num_layers=1, num_layers_predictor=3, hidden_channels=128, dropout=0.3, batch_size=256, lr=0.005, epochs=1000, eval_steps=5, runs=5, kill_cnt=10, output_dir='/data/home/weiyb/HeaRT/checkpoints/GNN', l2=0.0001, seed=42, velr=0.01, fslr=0.01, hop_num=2, id=1, feat=10, VE='resnet50_tuned', test=False, layout_aug=False, save=False, use_saved_model=False, metric='MRR', device=0, log_steps=1, gin_mlp_layer=2, gat_head=1, cat_node_feat_mf=False, cat_n2v_feat=False)
the number of nodes in cora is:  2708
2708 tensor(2707)
dataset split 
train edge 4488
valid edge 263
valid edge_neg 263
test edge 527
test edge_neg 527
#################################           0           #################################
seed:  0
No saved model parameters found. Starting training from scratch.
layers in gcn:  1
train valid_pos valid_neg test_pos test_neg torch.Size([263]) torch.Size([263]) torch.Size([263]) torch.Size([527]) torch.Size([527])
Hits@1
2024-06-25 23:36:43,208 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 5.70%, Test: 3.23%
Hits@3
2024-06-25 23:36:43,208 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 7.22%, Test: 4.93%
Hits@10
2024-06-25 23:36:43,209 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 23.19%, Test: 12.90%
Hits@100
2024-06-25 23:36:43,209 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 69.96%, Test: 50.47%
MRR
2024-06-25 23:36:43,209 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 10.94%, Test: 6.70%
AUC
2024-06-25 23:36:43,209 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 69.83%, Test: 70.83%
AP
2024-06-25 23:36:43,209 - [INFO] - Run: 01, Epoch: 05, Loss: 0.7577, Valid: 72.53%, Test: 72.54%
---
Best Current: 6.70_5
train valid_pos valid_neg test_pos test_neg torch.Size([263]) torch.Size([263]) torch.Size([263]) torch.Size([527]) torch.Size([527])
Hits@1
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 6.08%, Test: 1.52%
Hits@3
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 11.41%, Test: 4.93%
Hits@10
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 14.45%, Test: 11.01%
Hits@100
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 47.53%, Test: 37.57%
MRR
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 9.79%, Test: 5.54%
AUC
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 54.38%, Test: 59.98%
AP
2024-06-26 01:27:45,405 - [INFO] - Run: 01, Epoch: 10, Loss: 0.2951, Valid: 61.15%, Test: 65.25%
---
train valid_pos valid_neg test_pos test_neg torch.Size([263]) torch.Size([263]) torch.Size([263]) torch.Size([527]) torch.Size([527])
Hits@1
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 8.37%, Test: 0.00%
Hits@3
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 8.37%, Test: 5.31%
Hits@10
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 9.89%, Test: 10.25%
Hits@100
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 49.81%, Test: 34.54%
MRR
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 9.84%, Test: 4.91%
AUC
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 58.12%, Test: 60.58%
AP
2024-06-26 03:14:01,804 - [INFO] - Run: 01, Epoch: 15, Loss: 0.2959, Valid: 60.51%, Test: 62.96%
---
train valid_pos valid_neg test_pos test_neg torch.Size([263]) torch.Size([263]) torch.Size([263]) torch.Size([527]) torch.Size([527])
Hits@1
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 9.13%, Test: 1.33%
Hits@3
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 10.65%, Test: 4.36%
Hits@10
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 17.49%, Test: 11.76%
Hits@100
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 49.81%, Test: 36.81%
MRR
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 11.80%, Test: 4.87%
AUC
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 58.88%, Test: 60.61%
AP
2024-06-26 05:22:42,441 - [INFO] - Run: 01, Epoch: 20, Loss: 0.7905, Valid: 64.04%, Test: 64.60%
---
Best Current: 4.87_20
train valid_pos valid_neg test_pos test_neg torch.Size([263]) torch.Size([263]) torch.Size([263]) torch.Size([527]) torch.Size([527])
Hits@1
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 1.52%, Test: 0.57%
Hits@3
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 1.90%, Test: 1.33%
Hits@10
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 4.18%, Test: 2.47%
Hits@100
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 30.04%, Test: 12.33%
MRR
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 3.08%, Test: 1.67%
AUC
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 39.31%, Test: 34.17%
AP
2024-06-26 07:59:43,628 - [INFO] - Run: 01, Epoch: 25, Loss: 3.7257, Valid: 46.60%, Test: 43.23%
---
train valid_pos valid_neg test_pos test_neg torch.Size([263]) torch.Size([263]) torch.Size([263]) torch.Size([527]) torch.Size([527])
Hits@1
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 0.00%, Test: 0.00%
Hits@3
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 0.00%, Test: 0.00%
Hits@10
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 0.00%, Test: 0.00%
Hits@100
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 47.53%, Test: 0.00%
MRR
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 1.39%, Test: 0.60%
AUC
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 56.62%, Test: 52.34%
AP
2024-06-26 10:42:05,281 - [INFO] - Run: 01, Epoch: 30, Loss: 1.2872, Valid: 52.85%, Test: 49.37%
