Node Classification on WikiCS (Accuracy)
84.61AccuracyCGT
Evaluation results
| Method | Links | |
|---|---|---|
| CGT2023.12 | 84.61 | |
| DANCERatio=8%2026.01 | 84.26 | |
| GT2023.12 | 84.05 | |
| FedGALA2026.01 | 83.6 | |
| GRADE2023.12 | 82.91 | |
| Sage2023.12 | 82.9 | |
| TIER2026.03 | 82.51 | |
| TAPE2026.03 | 81.94 | |
| LLaTARatio=Full2026.01 | 81.58 | |
| FedC4Ratio=8%2026.01 | 81.27 | |
| DANCERatio=4%2026.01 | 81.27 | |
| FedSage+Ratio=Full2026.01 | 81.25 | |
| DuConTE2026.04 | 81.09 | |
| GATImplementation=Ours2024.06 | 81.07 | |
| SAN2023.12 | 81.04 | |
| GATSetting=Transductive2024.05 | 80.98 | |
| ENGINE2026.03 | 80.94 | |
| GCNLLM2026.03 | 80.94 | |
| GCNSetting=Transductive2024.05 | 80.91 | |
| GraphSAGEImplementation=Ours2024.06 | 80.69 | |
| FedC4Ratio=4%2026.01 | 80.63 | |
| DANCERatio=2%2026.01 | 80.58 | |
| GIANT2026.03 | 80.48 | |
| GraphBridge2026.04 | 80.47 | |
| GAugLLM2026.03 | 80.32 | |
| GCNImplementation=Ours2024.06 | 80.3 | |
| PolynormerImplementation=Ours2024.06 | 80.26 | |
| GraphMAE2 + COREAverage Rank=2.1, Node Masking=GraphMAE22025.12 | 80.2 | |
| NT*2026.04 | 80.17 | |
| Polynormer-ractivation=ReLU2024.03 | 80.1 | |
| PolynormerImplementation=Literature2024.06 | 80.1 | |
| GRACEAverage Rank=8.62025.12 | 80.1 | |
| Polynormer2026.04 | 80.1 | |
| SFGCRatio=8%2026.01 | 80.08 | |
| SGFormerSetting=Transductive2024.05 | 80.05 | |
| SGFormerImplementation=Ours2024.06 | 80.05 | |
| SAT2023.12 | 80.04 | |
| NT2026.04 | 80.04 | |
| NT2026.04 | 80.04 | |
| BGRLAverage Rank=5.62025.12 | 80 | |
| GATSE2026.03 | 79.99 | |
| FedGMRatio=8%2026.01 | 79.92 | |
| FedBook2026.01 | 79.87 | |
| GCNSE2026.03 | 79.86 | |
| SOTA2020.10 | 79.84 | |
| SimTeG2026.04 | 79.73 | |
| SAGESE2026.03 | 79.67 | |
| GeoMoE2026.03 | 79.65 | |
| GraphMAE + COREAverage Rank=4, Node Masking=GraphMAE2025.12 | 79.6 | |
| AutoscaleBase Model=Plain Linear2020.10 | 79.57 | |
| GCN2023.12 | 79.56 | |
| NIDGATSetting=Transductive2024.05 | 79.56 | |
| FDiff-scaleBase Model=Plain Linear2020.10 | 79.54 | |
| AutoscaleBase Model=Linear2020.10 | 79.53 | |
| Polynormer2024.03 | 79.53 | |
| PolynormerSetting=Transductive2024.05 | 79.53 | |
| GraphSSRNumber of candidate categories=10, Zero-shot=true2026.03 | 79.4 | |
| ExphormerImplementation=Ours2024.06 | 79.38 | |
| FedC4Ratio=2%2026.01 | 79.36 | |
| FedGTARatio=Full2026.01 | 79.35 | |
| GCondRatio=8%2026.01 | 79.33 | |
| LLM4FGLRatio=Full2026.01 | 79.31 | |
| SAGEType=Base models2024.11 | 79.3 | |
| ScaleNetType=Ours, loop_α, β, γ=1_0.5,2,-12024.11 | 79.3 | |
| FDiff-scaleBase Model=Linear2020.10 | 79.25 | |
| RGRL2023.12 | 79.22 | |
| FedGVDRatio=8%2026.01 | 79.14 | |
| GraphMAE2Average Rank=4.62025.12 | 79.1 | |
| FedGMRatio=4%2026.01 | 79.02 | |
| OrderedGNN2024.03 | 79.01 | |
| OrderedGNN2026.04 | 79.01 | |
| GraphMAEAverage Rank=6.62025.12 | 79 | |
| SFGCRatio=4%2026.01 | 78.97 | |
| 1iGi2Type=Symmetric (Ours)2024.11 | 78.9 | |
| APPNP2024.03 | 78.87 | |
| APPNPSetting=Transductive2024.05 | 78.87 | |
| APPNP2026.04 | 78.87 | |
| DGMAE2026.03 | 78.81 | |
| GCNType=Base models2024.11 | 78.8 | |
| FedGVDRatio=4%2026.01 | 78.71 | |
| ABGMLAverage Rank=3.22025.12 | 78.7 | |
| FedGFM+2026.01 | 78.69 | |
| GCNII2024.03 | 78.68 | |
| GCNII2026.04 | 78.68 | |
| GraphGPS2024.03 | 78.66 | |
| GraphGPSImplementation=Literature2024.06 | 78.66 | |
| GraphGPSImplementation=Ours2024.06 | 78.66 | |
| GRAPHGPSAvg. Edge Percent=8.6%2024.11 | 78.66 | |
| GraphGPS2026.04 | 78.66 | |
| Plain GCN2020.10 | 78.61 | |
| Qwen3-14B (Thinking)Number of candidate categories=10, Zero-shot=true2026.03 | 78.56 | |
| NIDGCNSetting=Transductive2024.05 | 78.55 | |
| Exphormer2024.03 | 78.54 | |
| ExphormerImplementation=Literature2024.06 | 78.54 | |
| EXPHORMER+GCNAvg. Edge Percent=8.6%2024.11 | 78.54 | |
| Exphormer2026.04 | 78.54 | |
| GGCN2024.03 | 78.44 | |
| GGCN2026.04 | 78.44 | |
| FedGMRatio=2%2026.01 | 78.43 | |
| GFTfederated adoption of GFM=true2026.01 | 78.37 |