Node Classification on Cora (full-supervised)
90.75AccuracyERAlignGNN
Evaluation Results
| Method | Links | |
|---|---|---|
| ERAlignGNNEvaluation Protocol=Full-supervised2026.06 | 90.75 | |
| NFGNNLearning Setting=full-supervised2022.12 | 89.82 | |
| ParaFormerGPRGNNAuxiliary GNN module=GPRGNN2025.12 | 89.4 | |
| ERAlignLLMEvaluation Protocol=Full-supervised2026.06 | 89.2 | |
| NodeFormer2025.12 | 88.7 | |
| ParaFormerGCNAuxiliary GNN module=GCN2025.12 | 88.7 | |
| GPRGNNLearning Setting=full-supervised2022.12 | 88.57 | |
| FAGCNLearning Setting=full-supervised2022.12 | 88.57 | |
| GPRGNN2025.12 | 88.5 | |
| CobFormer-GTask head module=GNN2025.12 | 88.4 | |
| GLoGNN2025.12 | 88.3 | |
| APPNPLearning Setting=full-supervised2022.12 | 88.2 | |
| NAGphormer2025.12 | 88.2 | |
| CobFormer-TTask head module=Transformer2025.12 | 88.2 | |
| GATLearning Setting=full-supervised2022.12 | 88.13 | |
| SGFormer2025.12 | 88.1 | |
| BernNetLearning Setting=full-supervised2022.12 | 88.06 | |
| GAT2025.12 | 88 | |
| APPNP2025.12 | 88 | |
| H2GCN2025.12 | 87.9 | |
| Polynormer2025.12 | 87.9 | |
| BMGCNLearning Setting=full-supervised2022.12 | 87.49 | |
| LLM4NGEvaluation Protocol=Full-supervised2026.06 | 87.24 | |
| CPGNN2025.12 | 87.2 | |
| GCN2025.12 | 87.1 | |
| JKNet2025.12 | 87 | |
| GCNLearning Setting=full-supervised2022.12 | 86.99 | |
| GraphTrans2025.12 | 86.7 | |
| SGC2025.12 | 86.6 | |
| LocleEvaluation Protocol=Full-supervised2026.06 | 86.52 | |
| SIGN2025.12 | 86.5 | |
| ChebNetLearning Setting=full-supervised2022.12 | 86.36 | |
| LINKLearning Setting=full-supervised2022.12 | 80.88 | |
| MLPLearning Setting=full-supervised2022.12 | 77.37 | |
| MLP2025.12 | 75.7 | |
| Graphormer2025.12 | 72.9 |