/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=0.001, fslr=0.001, hop_num=2, id=2, 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 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 9.89%, Test: 5.31%
Hits@3
2024-06-25 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 14.07%, Test: 5.31%
Hits@10
2024-06-25 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 18.25%, Test: 14.61%
Hits@100
2024-06-25 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 49.43%, Test: 36.24%
MRR
2024-06-25 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 13.55%, Test: 7.70%
AUC
2024-06-25 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 56.12%, Test: 57.48%
AP
2024-06-25 19:25:51,220 - [INFO] - Run: 01, Epoch: 05, Loss: 0.0004, Valid: 63.80%, Test: 64.44%
---
Best Current: 7.70_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
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 9.13%, Test: 3.23%
Hits@3
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 9.89%, Test: 6.64%
Hits@10
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 13.69%, Test: 15.18%
Hits@100
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 49.05%, Test: 35.67%
MRR
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 11.45%, Test: 6.65%
AUC
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 56.62%, Test: 61.07%
AP
2024-06-25 20:21:28,408 - [INFO] - Run: 01, Epoch: 10, Loss: 0.0001, Valid: 62.42%, Test: 65.87%
---
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 21:06:56,053 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 1.90%, Test: 0.38%
Hits@3
2024-06-25 21:06:56,054 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 15.21%, Test: 7.59%
Hits@10
2024-06-25 21:06:56,054 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 17.49%, Test: 14.99%
Hits@100
2024-06-25 21:06:56,054 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 52.47%, Test: 39.09%
MRR
2024-06-25 21:06:56,054 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 9.30%, Test: 5.88%
AUC
2024-06-25 21:06:56,054 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 58.76%, Test: 61.80%
AP
2024-06-25 21:06:56,054 - [INFO] - Run: 01, Epoch: 15, Loss: 0.0001, Valid: 63.74%, Test: 66.16%
---
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 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 0.38%, Test: 3.61%
Hits@3
2024-06-25 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 8.37%, Test: 4.93%
Hits@10
2024-06-25 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 14.83%, Test: 14.99%
Hits@100
2024-06-25 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 47.15%, Test: 34.72%
MRR
2024-06-25 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 6.36%, Test: 6.43%
AUC
2024-06-25 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 57.89%, Test: 58.00%
AP
2024-06-25 22:05:13,581 - [INFO] - Run: 01, Epoch: 20, Loss: 0.0000, Valid: 61.58%, Test: 63.64%
---
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 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 0.38%, Test: 2.28%
Hits@3
2024-06-25 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 7.60%, Test: 4.93%
Hits@10
2024-06-25 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 17.11%, Test: 16.70%
Hits@100
2024-06-25 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 43.35%, Test: 30.55%
MRR
2024-06-25 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 6.34%, Test: 5.77%
AUC
2024-06-25 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 54.76%, Test: 54.25%
AP
2024-06-25 23:51:18,933 - [INFO] - Run: 01, Epoch: 25, Loss: 0.0000, Valid: 60.74%, Test: 61.79%
---
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 01:37:42,008 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 1.14%, Test: 1.71%
Hits@3
2024-06-26 01:37:42,009 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 6.46%, Test: 2.09%
Hits@10
2024-06-26 01:37:42,009 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 8.75%, Test: 10.25%
Hits@100
2024-06-26 01:37:42,009 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 45.25%, Test: 23.91%
MRR
2024-06-26 01:37:42,009 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 4.78%, Test: 3.69%
AUC
2024-06-26 01:37:42,009 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 49.49%, Test: 50.02%
AP
2024-06-26 01:37:42,009 - [INFO] - Run: 01, Epoch: 30, Loss: 0.0000, Valid: 53.98%, Test: 55.26%
---
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 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 0.00%, Test: 0.00%
Hits@3
2024-06-26 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 0.00%, Test: 0.00%
Hits@10
2024-06-26 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 0.38%, Test: 0.38%
Hits@100
2024-06-26 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 36.12%, Test: 13.28%
MRR
2024-06-26 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 1.33%, Test: 0.64%
AUC
2024-06-26 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 43.88%, Test: 40.81%
AP
2024-06-26 03:16:55,631 - [INFO] - Run: 01, Epoch: 35, Loss: 0.0000, Valid: 46.52%, Test: 44.13%
---
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 05:17:11,604 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 0.00%, Test: 0.00%
Hits@3
2024-06-26 05:17:11,605 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 0.00%, Test: 0.00%
Hits@10
2024-06-26 05:17:11,605 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 0.00%, Test: 0.00%
Hits@100
2024-06-26 05:17:11,605 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 0.00%, Test: 0.00%
MRR
2024-06-26 05:17:11,605 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 0.74%, Test: 0.38%
AUC
2024-06-26 05:17:11,605 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 48.10%, Test: 49.24%
AP
2024-06-26 05:17:11,605 - [INFO] - Run: 01, Epoch: 40, Loss: 1.3079, Valid: 49.05%, Test: 49.62%
---
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 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 1.90%, Test: 2.28%
Hits@3
2024-06-26 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 7.98%, Test: 3.23%
Hits@10
2024-06-26 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 23.95%, Test: 18.79%
Hits@100
2024-06-26 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 61.22%, Test: 46.30%
MRR
2024-06-26 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 8.11%, Test: 5.88%
AUC
2024-06-26 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 66.02%, Test: 68.07%
AP
2024-06-26 07:44:41,864 - [INFO] - Run: 01, Epoch: 45, Loss: 0.0013, Valid: 69.58%, Test: 70.93%
---
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 10:05:14,098 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 6.84%, Test: 1.14%
Hits@3
2024-06-26 10:05:14,098 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 9.13%, Test: 3.42%
Hits@10
2024-06-26 10:05:14,098 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 25.10%, Test: 16.13%
Hits@100
2024-06-26 10:05:14,098 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 61.98%, Test: 48.39%
MRR
2024-06-26 10:05:14,099 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 11.60%, Test: 5.00%
AUC
2024-06-26 10:05:14,099 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 67.23%, Test: 68.74%
AP
2024-06-26 10:05:14,099 - [INFO] - Run: 01, Epoch: 50, Loss: 0.0224, Valid: 70.99%, Test: 71.00%
---
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 12:04:21,172 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 1.90%, Test: 0.95%
Hits@3
2024-06-26 12:04:21,173 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 9.51%, Test: 2.09%
Hits@10
2024-06-26 12:04:21,173 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 23.57%, Test: 12.14%
Hits@100
2024-06-26 12:04:21,173 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 59.70%, Test: 47.44%
MRR
2024-06-26 12:04:21,173 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 8.64%, Test: 4.55%
AUC
2024-06-26 12:04:21,173 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 66.47%, Test: 68.31%
AP
2024-06-26 12:04:21,173 - [INFO] - Run: 01, Epoch: 55, Loss: 0.0002, Valid: 69.90%, Test: 70.46%
---
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 14:00:41,316 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 3.04%, Test: 0.57%
Hits@3
2024-06-26 14:00:41,317 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 6.84%, Test: 2.85%
Hits@10
2024-06-26 14:00:41,317 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 23.57%, Test: 14.04%
Hits@100
2024-06-26 14:00:41,317 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 56.65%, Test: 44.59%
MRR
2024-06-26 14:00:41,317 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 8.17%, Test: 4.07%
AUC
2024-06-26 14:00:41,317 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 63.37%, Test: 64.93%
AP
2024-06-26 14:00:41,317 - [INFO] - Run: 01, Epoch: 60, Loss: 0.0094, Valid: 67.83%, Test: 67.86%
/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)
---
Early Stopping!!
Hits@1
Run 01:
Highest Train: 9.89
Highest Valid: 9.89
  Final Train: 9.89
   Final Test: 5.31
Hits@3
Run 01:
Highest Train: 15.21
Highest Valid: 15.21
  Final Train: 15.21
   Final Test: 7.59
Hits@10
Run 01:
Highest Train: 25.10
Highest Valid: 25.10
  Final Train: 25.10
   Final Test: 16.13
Hits@100
Run 01:
Highest Train: 61.98
Highest Valid: 61.98
  Final Train: 61.98
   Final Test: 48.39
MRR
Run 01:
Highest Train: 13.55
Highest Valid: 13.55
  Final Train: 13.55
   Final Test: 7.70
AUC
Run 01:
Highest Train: 67.23
Highest Valid: 67.23
  Final Train: 67.23
   Final Test: 68.74
AP
Run 01:
Highest Train: 70.99
Highest Valid: 70.99
  Final Train: 70.99
   Final Test: 71.00
#################################           1           #################################
seed:  1
No saved model parameters found. Starting training from scratch.
Traceback (most recent call last):
  File "/data/home/weiyb/GVN-cache/GVN/benchmarking/exist_setting_small/main_vgnn.py", line 637, in <module>
    
  File "/data/home/weiyb/GVN-cache/GVN/benchmarking/exist_setting_small/main_vgnn.py", line 555, in main
    _, valid_hits, test_hits = result
  File "/data/home/weiyb/GVN-cache/GVN/benchmarking/exist_setting_small/main_vgnn.py", line 289, in train
    train_neg_perm_list = edge.t().tolist()
  File "/data/home/weiyb/GVN-cache/GVN/benchmarking/exist_setting_small/../visual_integrater.py", line 217, in preprocess_batch_image
    def __init__(self, in_channels, hidden_channels, out_channels, num_layers,
  File "/data/home/weiyb/miniconda3/envs/NLGraph/lib/python3.10/site-packages/PIL/Image.py", line 3243, in open
    fp = builtins.open(filename, "rb")
FileNotFoundError: [Errno 2] No such file or directory: './dataset/cora/2523_1033.png'
