Table 3.
Results of classification with different methods.
| Model | Accuracy | Sensitivity | Specificity |
|---|---|---|---|
| BrainGNN | 66.67% | 69.23% | 64.29% |
| MVS-GCN | 70.37% | 65.69% | 75.09% |
| RGAT | 69.23% | 66.67% | 71.43% |
| The proposed algorithm | 74.07% | 69.23% | 78.57% |
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