Node Classification on PubMed semi-supervised (test)
85.07Mean AccuracyNFGNN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| NFGNNLearning Setting=Semi-supervised2022.12 | 85.07 | — | — | |
| GPRGNNLearning Setting=Semi-supervised2022.12 | 85.07 | — | — | |
| APPNPLearning Setting=Semi-supervised2022.12 | 85.02 | — | — | |
| BMGCNLearning Setting=Semi-supervised2022.12 | 84.71 | — | — | |
| GCNLearning Setting=Semi-supervised2022.12 | 84.27 | — | — | |
| FAGCNLearning Setting=Semi-supervised2022.12 | 84.09 | — | — | |
| ChebNetLearning Setting=Semi-supervised2022.12 | 83.83 | — | — | |
| GATLearning Setting=Semi-supervised2022.12 | 83.28 | — | — | |
| BernNetLearning Setting=Semi-supervised2022.12 | 82.57 | — | — | |
| MLPLearning Setting=Semi-supervised2022.12 | 80.57 | — | — | |
| LINKLearning Setting=Semi-supervised2022.12 | 54.78 | — | — | |
| ReVarBackbone=GCN, Imbalance Ratio (p)=102023.10 | — | 79.2 | 78.45 | |
| ReVarBackbone=GAT, Imbalance Ratio (p)=102023.10 | — | 77.85 | 77.08 | |
| ReVarBackbone=GraphSAGE, Imbalance Ratio (p)=102023.10 | — | 77.72 | 76.01 | |
| VanillaBackbone=GCN, Imbalance Ratio (p)=102023.10 | — | 65.64 | 56.97 |