Node Classification on Cora (OOD)
98.85AccuracyVecFormer
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| VecFormer2026.02 | 98.85 | — | — | — | — | |
| CaNetbackbone=GAT2026.02 | 97.3 | — | — | — | — | |
| GAT + SIGHTBackbone=GAT2026.02 | 96.3 | 0.008 | 0.138 | 0.058 | 89.6 | |
| GCN + SIGHTBackbone=GCN2026.02 | 95.6 | 0.009 | 0.153 | 0.068 | 89.8 | |
| Mixupbackbone=GAT2026.02 | 92.94 | — | — | — | — | |
| DANNbackbone=GAT2026.02 | 92.4 | — | — | — | — | |
| Coralbackbone=GAT2026.02 | 91.82 | — | — | — | — | |
| EERMbackbone=GAT2026.02 | 91.8 | — | — | — | — | |
| SRGNNbackbone=GAT2026.02 | 91.77 | — | — | — | — | |
| IRMbackbone=GAT2026.02 | 91.63 | — | — | — | — | |
| ERMbackbone=GAT2026.02 | 91.1 | — | — | — | — | |
| GroupDRObackbone=GAT2026.02 | 90.54 | — | — | — | — | |
| SGFormer2026.02 | 90.18 | — | — | — | — | |
| Exphormer2026.02 | 88.76 | — | — | — | — | |
| Polynormer2026.02 | 87 | — | — | — | — | |
| NAGphormer2026.02 | 84.51 | — | — | — | — | |
| GAT + G-ΔUQBackbone=GAT2026.02 | 80.2 | 0.061 | 0.578 | 0.291 | 81.8 | |
| GCN + G-ΔUQBackbone=GCN2026.02 | 80.1 | 0.053 | 0.574 | 0.288 | 81.5 | |
| GATBackbone=GAT2026.02 | 67.4 | 0.164 | 1.072 | 0.498 | 71.1 | |
| NodeFormer2026.02 | 66.81 | — | — | — | — | |
| GCNBackbone=GCN2026.02 | 43.5 | 0.391 | 2.595 | 0.919 | 59.9 |