Node Classification on Photo
96.67Mean AccuracyNT*
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| NT*2026.04 | 96.67 | — | — | — | |
| NIDGATSetting=Transductive2024.05 | 96.47 | — | — | — | |
| Polynormer-ractivation=ReLU2024.03 | 96.46 | — | — | — | |
| Polynormer2026.04 | 96.46 | — | — | — | |
| GATSetting=Transductive2024.05 | 96.27 | — | — | — | |
| NIDGCNSetting=Transductive2024.05 | 96.17 | — | — | — | |
| GCNSetting=Transductive2024.05 | 96.14 | — | — | — | |
| NT2026.04 | 96.12 | — | — | — | |
| Polynormer2024.03 | 96.11 | — | — | — | |
| PolynormerSetting=Transductive2024.05 | 96.11 | — | — | — | |
| CNAArchitecture=TransformerConv2024.12 | 95.96 | — | — | — | |
| CGT2023.12 | 95.73 | — | — | — | |
| CGTArchitecture=CGT2024.12 | 95.73 | — | — | — | |
| STAGNN2023.10 | 95.64 | — | — | — | |
| DMbaGCNModel Type=Graph Mamba2025.11 | 95.61 | — | — | — | |
| SGFormerSetting=Transductive2024.05 | 95.58 | — | — | — | |
| NAGphormer2023.10 | 95.49 | — | — | — | |
| NAGphormer2024.03 | 95.49 | — | — | — | |
| NAGphormer2026.04 | 95.49 | — | — | — | |
| Graph-MLPSetting=Transductive2024.05 | 95.43 | — | — | — | |
| GNSNMethod Category=New, Trials=102026.05 | 95.43 | — | — | — | |
| EXPHORMER*Avg. Edge Percent=8.2%2024.11 | 95.36 | — | — | — | |
| Exphormer2024.03 | 95.35 | — | — | — | |
| Exphormer2026.04 | 95.35 | — | — | — | |
| SPEXPHORMERAvg. Edge Percent=8.2%2024.11 | 95.33 | — | — | — | |
| SpexphormerModel Type=Graph Transformer2025.11 | 95.33 | — | — | — | |
| EXPHORMER+GCNAvg. Edge Percent=8.2%2024.11 | 95.27 | — | — | — | |
| GT2023.12 | 95.18 | — | — | — | |
| GeoMoE2026.03 | 95.18 | — | — | — | |
| OrderedGNN2024.03 | 95.1 | — | — | — | |
| DIFFormer2024.03 | 95.1 | — | — | — | |
| DIFFormer2026.04 | 95.1 | — | — | — | |
| SAN2023.12 | 95.08 | — | — | — | |
| GraphGPS2023.10 | 95.06 | — | — | — | |
| RCLBackbone=GraphSAGE2023.10 | 95.06 | — | — | — | |
| GraphGPS2024.03 | 95.06 | — | — | — | |
| GRAPHGPSAvg. Edge Percent=8.2%2024.11 | 95.06 | — | — | — | |
| GraphGPSModel Type=Graph Transformer2025.11 | 95.06 | — | — | — | |
| GraphGPS2026.04 | 95.06 | — | — | — | |
| VQGraphSetting=Transductive2024.05 | 94.98 | — | — | — | |
| GPRGNNModel Type=Deep GNN2025.11 | 94.97 | — | — | — | |
| SAN2023.10 | 94.86 | — | — | — | |
| SANModel Type=Graph Transformer2025.11 | 94.86 | — | — | — | |
| M-DESIGN2025.07 | 94.75 | — | — | — | |
| GT2023.10 | 94.74 | — | — | — | |
| GTModel Type=Graph Transformer2025.11 | 94.74 | — | — | — | |
| GraphSAGE2024.03 | 94.59 | — | — | — | |
| GRAPHSAGEAvg. Edge Percent=8.2%2024.11 | 94.59 | — | — | — | |
| LRN2026.03 | 94.58 | — | — | — | |
| F-HNN2026.03 | 94.55 | — | — | — | |
| GGCN2024.03 | 94.5 | — | — | — | |
| GPRGNN2023.10 | 94.49 | — | — | — | |
| GPRGNN2024.03 | 94.49 | — | — | — | |
| GPRGNNSetting=Transductive2024.05 | 94.49 | — | — | — | |
| DMbaGCN w/o GCAMbaModel Type=Graph Mamba2025.11 | 94.44 | — | — | — | |
| RCLBackbone=GCN2023.10 | 94.41 | — | — | — | |
| MbaGCNNumber of Layers=22025.01 | 94.41 | — | — | — | |
| MbaGCNModel Type=Graph Mamba2025.11 | 94.41 | — | — | — | |
| GraphFMMethod Variant=NFT2024.07 | 94.37 | — | — | — | |
| GPRGNNNumber of Layers=102025.01 | 94.36 | — | — | — | |
| APPNP2023.10 | 94.32 | — | — | — | |
| APPNP2024.03 | 94.32 | — | — | — | |
| APPNPSetting=Transductive2024.05 | 94.32 | — | — | — | |
| GCNII2024.03 | 94.3 | — | — | — | |
| SSGCModel Type=Deep GNN2025.11 | 94.28 | — | — | — | |
| FD-MVGCL2025.11 | 94.27 | — | — | — | |
| GGCNNumber of Layers=62025.01 | 94.23 | — | — | — | |
| LGCN2026.03 | 94.21 | — | — | — | |
| SDMG2025.11 | 94.1 | — | — | — | |
| SDMGAttack=clean2025.09 | 94.1 | — | — | — | |
| SDMGAttack=clean, Perturbation=15%2025.09 | 94.1 | — | — | — | |
| APPNPModel Type=Deep GNN2025.11 | 94.1 | — | — | — | |
| GraphMoRE2026.03 | 94.07 | — | — | — | |
| GIL2026.03 | 93.92 | — | — | — | |
| CLNodeBackbone=GraphSAGE2023.10 | 93.9 | — | — | — | |
| GraphMAE2 + COREAverage Rank=2.1, Node Masking=GraphMAE22025.12 | 93.9 | — | — | — | |
| RCLBackbone=GIN2023.10 | 93.88 | — | — | — | |
| GAT2023.10 | 93.87 | — | — | — | |
| GAT2024.03 | 93.87 | — | — | — | |
| GATAvg. Edge Percent=8.2%2024.11 | 93.87 | — | — | — | |
| GPR-GNN2021.06 | 93.85 | — | 0.28 | — | |
| GraphSAGEBackbone=GraphSAGE2023.10 | 93.82 | — | — | — | |
| GATModel Type=GNN2025.11 | 93.81 | — | — | — | |
| MotifRGC2026.03 | 93.78 | — | — | — | |
| ChebNet2021.06 | 93.77 | — | 0.32 | — | |
| GCNModel Type=GNN2025.11 | 93.77 | — | — | — | |
| BernNetK=102021.06 | 93.63 | — | 0.35 | — | |
| PPRGO2024.03 | 93.61 | — | — | — | |
| SGCModel Type=GNN2025.11 | 93.61 | — | — | — | |
| GraphMAE + COREAverage Rank=4, Node Masking=GraphMAE2025.12 | 93.6 | — | — | — | |
| PloyGCLMethod Category=Hetero-oriented, Trials=102026.05 | 93.6 | — | — | — | |
| GRAND++variant=++2024.03 | 93.5 | — | — | — | |
| ABGMLAverage Rank=3.22025.12 | 93.5 | — | — | — | |
| GRADE2023.12 | 93.49 | — | — | — | |
| NodeFormer2024.03 | 93.46 | — | — | — | |
| NODEFORMERAvg. Edge Percent=8.2%2024.11 | 93.46 | — | — | — | |
| NodeFormer2026.03 | 93.46 | — | — | — | |
| NodeFormer2026.04 | 93.46 | — | — | — | |
| GCN-MLPAttack=clean2025.09 | 93.41 | — | — | — | |
| GCN-MLPAttack=clean, Perturbation=15%2025.09 | 93.41 | — | — | — |