| { | |
| "experiment_config": { | |
| "hidden_dim": 32, | |
| "num_layers": 2, | |
| "dropout": 0.5, | |
| "learning_rate": 0.001, | |
| "weight_decay": 0.0005, | |
| "epochs": 200, | |
| "patience": 20, | |
| "attention_heads": 8 | |
| }, | |
| "model_performance": { | |
| "GCN": { | |
| "test_accuracy": 0.793, | |
| "final_train_accuracy": 0.9285714285714286, | |
| "final_val_accuracy": 0.77, | |
| "best_val_accuracy": 0.778, | |
| "precision_macro": 0.7735829638544267, | |
| "recall_macro": 0.8017587957710489, | |
| "f1_macro": 0.7830557910370155 | |
| }, | |
| "GraphSAGE": { | |
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| "final_train_accuracy": 0.9928571428571429, | |
| "final_val_accuracy": 0.78, | |
| "best_val_accuracy": 0.78, | |
| "precision_macro": 0.751972283066921, | |
| "recall_macro": 0.790235145179744, | |
| "f1_macro": 0.7618000896069611 | |
| }, | |
| "GAT": { | |
| "test_accuracy": 0.819, | |
| "final_train_accuracy": 0.9, | |
| "final_val_accuracy": 0.804, | |
| "best_val_accuracy": 0.808, | |
| "precision_macro": 0.7984461703499488, | |
| "recall_macro": 0.8249418851055283, | |
| "f1_macro": 0.8079367810474564 | |
| } | |
| }, | |
| "timestamp": "2025-07-18T11:54:36.377583" | |
| } |