Node Classification on Citeseer (Accuracy, ECE, NLL, BS, AUROC)
94.94AccuracyVecFormer
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| VecFormer2026.02 | 94.94 | — | — | — | — | |
| SGFormer2026.02 | 93.95 | — | — | — | — | |
| Exphormer2026.02 | 92.14 | — | — | — | — | |
| Polynormer2026.02 | 91.95 | — | — | — | — | |
| CaNetbackbone=GAT2026.02 | 89.57 | — | — | — | — | |
| GroupDRObackbone=GAT2026.02 | 89.13 | — | — | — | — | |
| IRMbackbone=GAT2026.02 | 89.11 | — | — | — | — | |
| SRGNNbackbone=GAT2026.02 | 89.1 | — | — | — | — | |
| Coralbackbone=GAT2026.02 | 89.05 | — | — | — | — | |
| Mixupbackbone=GAT2026.02 | 89.05 | — | — | — | — | |
| ERMbackbone=GAT2026.02 | 89.02 | — | — | — | — | |
| DANNbackbone=GAT2026.02 | 89.02 | — | — | — | — | |
| GAT + SIGHTBackbone=GAT2026.02 | 88.8 | 0.02 | 0.414 | 0.175 | 77.7 | |
| GCN + SIGHTBackbone=GCN2026.02 | 86.6 | 0.028 | 0.452 | 0.204 | 80.1 | |
| NAGphormer2026.02 | 84.86 | — | — | — | — | |
| EERMbackbone=GAT2026.02 | 83.53 | — | — | — | — | |
| GCNBackbone=GCN2026.02 | 82.1 | 0.026 | 0.503 | 0.252 | 84.1 | |
| GATBackbone=GAT2026.02 | 82.1 | 0.026 | 0.503 | 0.252 | 84.1 | |
| GCN + G-ΔUQBackbone=GCN2026.02 | 81.6 | 0.021 | 0.531 | 0.263 | 82.2 | |
| GAT + G-ΔUQBackbone=GAT2026.02 | 81.6 | 0.021 | 0.531 | 0.263 | 82.2 | |
| NodeFormer2026.02 | 81.15 | — | — | — | — |