Table 2.
Model | Accuracy | AUC | Precision | Recall | F1-score |
---|---|---|---|---|---|
SVM | 66.0 ± 3.7% | 65.9 ± 3.7% | 65.9 ± 3.9% | 65.9 ± 3.7% | 65.9 ± 3.9% |
Random forest | 65.3 ± 2.4% | 65.1 ± 2.4% | 65.7 ± 2.4% | 65.1 ± 2.4% | 65.0 ± 2.5% |
GCN | 73.2 ± 2.7% | 78.7±3.0% | 75.8±4.0% | 71.7 ± 6.5% | 73.4 ± 3.2% |
Siamises GCN | 59.4 ± 1.7% | 58.6 ± 1.9% | 60.7 ± 1.2% | 62.3 ± 12.0% | 61.3 ± 6.9% |
ID-GCN(our model) | 76.3±3.7% | 77.5 ± 4.9% | 75 ± 5.9% | 81.0±5.5% | 77.6±2.8% |