Node Classification on CS
96.51AccuracyGraphTARIF
Evaluation Results
| Method | Links | |
|---|---|---|
| GraphTARIF2026.05 | 96.51 | |
| SAGE2026.05 | 96.29 | |
| SAGEapplied_enhancement=Transductive Sharpening2026.05 | 96.24 | |
| GAT2026.05 | 96.17 | |
| GATapplied_enhancement=Transductive Sharpening2026.05 | 96.17 | |
| DMbaGCNModel Type=Graph Mamba2025.11 | 96 | |
| GCNSetting=Transductive2024.05 | 95.94 | |
| Exphormer2026.05 | 95.92 | |
| GCNapplied_enhancement=Transductive Sharpening2026.05 | 95.89 | |
| GCN2026.05 | 95.88 | |
| NAGphormer2026.05 | 95.85 | |
| STAGNN2023.10 | 95.77 | |
| EXPHORMER+GCNAvg. Edge Percent=12.8%2024.11 | 95.77 | |
| NAGphormer2023.10 | 95.75 | |
| NAGphormer2024.03 | 95.75 | |
| SGFormerSetting=Transductive2024.05 | 95.71 | |
| SGFormer2026.05 | 95.71 | |
| NodeFormer2026.05 | 95.69 | |
| APPNPModel Type=Deep GNN2025.11 | 95.65 | |
| NodeFormer2024.03 | 95.64 | |
| NODEFORMERAvg. Edge Percent=12.8%2024.11 | 95.64 | |
| VecFormerCategory=VQ GT2026.02 | 95.54 | |
| Polynormer-ractivation=ReLU2024.03 | 95.53 | |
| NIDGCNSetting=Transductive2024.05 | 95.52 | |
| Polynormer2024.03 | 95.51 | |
| PolynormerSetting=Transductive2024.05 | 95.51 | |
| GPRGNNModel Type=Deep GNN2025.11 | 95.49 | |
| GCNIIModel Type=Deep GNN2025.11 | 95.46 | |
| GraphGPSCategory=GT2026.02 | 95.42 | |
| Polynormer2026.05 | 95.42 | |
| PolynormerCategory=GT2026.02 | 95.38 | |
| M-DESIGN2025.07 | 95.33 | |
| MbaGCNModel Type=Graph Mamba2025.11 | 95.33 | |
| DMbaGCN w/o GCAMbaModel Type=Graph Mamba2025.11 | 95.32 | |
| GGCN2024.03 | 95.25 | |
| GraphFMMethod Variant=NFT2024.07 | 95.24 | |
| NAGphormerCategory=GT2026.02 | 95.23 | |
| OGFormer2026.05 | 95.2 | |
| EXPHORMER*Avg. Edge Percent=12.8%2024.11 | 95.19 | |
| SGFormerCategory=GT2026.02 | 95.16 | |
| GPRGNN2023.10 | 95.13 | |
| GPRGNN2024.03 | 95.13 | |
| GPRGNNSetting=Transductive2024.05 | 95.13 | |
| GraphFMMethod Variant=MFT2024.07 | 95.1 | |
| NodeFormerCategory=GT2026.02 | 95.07 | |
| RCLBackbone=GraphSAGE2023.10 | 95.05 | |
| ExphormerCategory=GT2026.02 | 95.03 | |
| OrderedGNN2024.03 | 95 | |
| SPEXPHORMERAvg. Edge Percent=12.8%2024.11 | 95 | |
| SpexphormerModel Type=Graph Transformer2025.11 | 95 | |
| Exphormer2024.03 | 94.93 | |
| DIFFormer2024.03 | 94.78 | |
| NIDGATSetting=Transductive2024.05 | 94.75 | |
| Graph-MLPSetting=Transductive2024.05 | 94.68 | |
| RCLBackbone=GCN2023.10 | 94.66 | |
| GT2023.10 | 94.64 | |
| GTModel Type=Graph Transformer2025.11 | 94.64 | |
| GraphormerModel Type=Graph Transformer2025.11 | 94.64 | |
| SAN2023.10 | 94.51 | |
| SANModel Type=Graph Transformer2025.11 | 94.51 | |
| APPNP2023.10 | 94.49 | |
| APPNP2024.03 | 94.49 | |
| APPNPSetting=Transductive2024.05 | 94.49 | |
| GATSetting=Transductive2024.05 | 94.46 | |
| GRAPHSAINTAvg. Edge Percent=12.8%2024.11 | 94.41 | |
| GraphSAGEBackbone=GraphSAGE2023.10 | 94.22 | |
| GOAT2024.03 | 94.21 | |
| GOATAvg. Edge Percent=12.8%2024.11 | 94.21 | |
| CLNodeBackbone=GraphSAGE2023.10 | 94.13 | |
| ProGNNBackbone=GCN2023.10 | 94.04 | |
| GraphGPS2026.05 | 94.04 | |
| SSGCModel Type=Deep GNN2025.11 | 93.99 | |
| GraphGPS2023.10 | 93.93 | |
| GraphGPS2024.03 | 93.93 | |
| GRAPHGPSAvg. Edge Percent=12.8%2024.11 | 93.93 | |
| GraphGPSModel Type=Graph Transformer2025.11 | 93.93 | |
| RCLBackbone=GIN2023.10 | 93.92 | |
| GraphSAGE2024.03 | 93.91 | |
| GRAPHSAGEAvg. Edge Percent=12.8%2024.11 | 93.91 | |
| NeuralSparseBackbone=GraphSAGE2023.10 | 93.89 | |
| GNNSVDBackbone=GraphSAGE2023.10 | 93.86 | |
| GATModel Type=GNN2025.11 | 93.84 | |
| CLNodeBackbone=GCN2023.10 | 93.83 | |
| VQGraphSetting=Transductive2024.05 | 93.82 | |
| GOAT2026.05 | 93.81 | |
| GNNSVDBackbone=GCN2023.10 | 93.79 | |
| PTDNetBackbone=GraphSAGE2023.10 | 93.78 | |
| GCNModel Type=GNN2025.11 | 93.75 | |
| DMbaGCN w/o LSEMbaModel Type=Graph Mamba2025.11 | 93.71 | |
| GATCategory=GNN2026.02 | 93.7 | |
| GAT2023.10 | 93.61 | |
| GAT2024.03 | 93.61 | |
| GATAvg. Edge Percent=12.8%2024.11 | 93.61 | |
| PTDNetBackbone=GCN2023.10 | 93.6 | |
| ABGMLAverage Rank=3.22025.12 | 93.6 | |
| SGCModel Type=GNN2025.11 | 93.44 | |
| GCNCategory=GNN2026.02 | 93.4 | |
| PEGNInput=True Diagram2022.01 | 93.3 | |
| BGRLAverage Rank=5.62025.12 | 93.3 | |
| CCA-SSGAverage Rank=6.32025.12 | 93.3 |