Node Classification on Citeseer (OOD)
97.45AccuracyVecFormer
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| VecFormer2026.02 | 97.45 | — | — | — | — | |
| CaNetbackbone=GAT2026.02 | 95.33 | — | — | — | — | |
| GAT + SIGHTBackbone=GAT2026.02 | 93.4 | 0.028 | 0.261 | 0.105 | 80.8 | |
| GCN + SIGHTBackbone=GCN2026.02 | 91.2 | 0.024 | 0.307 | 0.136 | 83.4 | |
| Mixupbackbone=GAT2026.02 | 82.77 | — | — | — | — | |
| IRMbackbone=GAT2026.02 | 82.73 | — | — | — | — | |
| SRGNNbackbone=GAT2026.02 | 82.72 | — | — | — | — | |
| GroupDRObackbone=GAT2026.02 | 82.64 | — | — | — | — | |
| ERMbackbone=GAT2026.02 | 82.6 | — | — | — | — | |
| DANNbackbone=GAT2026.02 | 82.49 | — | — | — | — | |
| Coralbackbone=GAT2026.02 | 82.44 | — | — | — | — | |
| Exphormer2026.02 | 80.54 | — | — | — | — | |
| SGFormer2026.02 | 78.26 | — | — | — | — | |
| EERMbackbone=GAT2026.02 | 74.07 | — | — | — | — | |
| Polynormer2026.02 | 73.95 | — | — | — | — | |
| GCN + G-ΔUQBackbone=GCN2026.02 | 71 | 0.066 | 0.889 | 0.416 | 76.5 | |
| GAT + G-ΔUQBackbone=GAT2026.02 | 71 | 0.066 | 0.889 | 0.416 | 76.5 | |
| NAGphormer2026.02 | 65.91 | — | — | — | — | |
| NodeFormer2026.02 | 60 | — | — | — | — | |
| GCNBackbone=GCN2026.02 | 46.6 | 0.334 | 1.838 | 0.793 | 74.1 | |
| GATBackbone=GAT2026.02 | 46.6 | 0.334 | 1.838 | 0.793 | 74.1 |