Node Classification on Cornell semi-supervised (test)
48.37Mean AccuracyNFGNN
Evaluation Results
| Method | Links | |
|---|---|---|
| NFGNNLearning Setting=Semi-supervised2022.12 | 48.37 | |
| BernNetLearning Setting=Semi-supervised2022.12 | 46.5 | |
| FAGCNLearning Setting=Semi-supervised2022.12 | 46.38 | |
| MLPLearning Setting=Semi-supervised2022.12 | 46.28 | |
| APPNPLearning Setting=Semi-supervised2022.12 | 44.37 | |
| GPRGNNLearning Setting=Semi-supervised2022.12 | 43.45 | |
| GATLearning Setting=Semi-supervised2022.12 | 37.34 | |
| GCNLearning Setting=Semi-supervised2022.12 | 35.9 | |
| LINKLearning Setting=Semi-supervised2022.12 | 27.48 | |
| ChebNetLearning Setting=Semi-supervised2022.12 | 26.21 |