Graph Classification On Hiv Fmri 77
평가 지표
Accuracy
F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy | F1 |
|---|---|---|
| 모델 1 | 44.2% | 27.2% |
| isonn-isomorphic-neural-network-for-graph | 70.5% | 69.9% |
| structural-deep-network-embedding | 66.5% | 66.7% |
| imagenet-classification-with-deep | 59.3% | 66.3% |
| 모델 5 | 46.9% | 35.5% |
| how-powerful-are-graph-neural-networks | 52.5% | 35.6% |
| isonn-isomorphic-neural-network-for-graph | 73.4% | 72.2% |