Table 1.
Evaluation metrics for performance comparison of different models
| Criteria/Model | GCN | LSTM | Graph SNN |
|---|---|---|---|
| Precision | 0.763 | 0.591 | 0.811 |
| Recall | 0.746 | 0.643 | 0.832 |
| F1 score | 0.759 | 0.598 | 0.821 |
| Accuracy | 0.793 | 0.678 | 0.853 |
Evaluation metrics for performance comparison of different models
| Criteria/Model | GCN | LSTM | Graph SNN |
|---|---|---|---|
| Precision | 0.763 | 0.591 | 0.811 |
| Recall | 0.746 | 0.643 | 0.832 |
| F1 score | 0.759 | 0.598 | 0.821 |
| Accuracy | 0.793 | 0.678 | 0.853 |