Node Classification on Computers full-supervised
90.31Mean AccuracyNFGNN
Evaluation results
| Method | Links | |
|---|---|---|
| NFGNNLearning Setting=full-supervised2022.12 | 90.31 | |
| FAGCNLearning Setting=full-supervised2022.12 | 89.68 | |
| BernNetLearning Setting=full-supervised2022.12 | 88.61 | |
| APPNPLearning Setting=full-supervised2022.12 | 88.04 | |
| ChebNetLearning Setting=full-supervised2022.12 | 87.82 | |
| GPRGNNLearning Setting=full-supervised2022.12 | 87.2 | |
| GCNLearning Setting=full-supervised2022.12 | 86.64 | |
| GATLearning Setting=full-supervised2022.12 | 85.83 | |
| LINKLearning Setting=full-supervised2022.12 | 83.71 | |
| MLPLearning Setting=full-supervised2022.12 | 81.78 |