Node Classification on Texas
89.73AccuracyGREAD-F
Evaluation results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| GREAD-F2022.11 | 89.73 | — | — | — | — | — | — | — | — | |
| GREAD-BS2022.11 | 88.92 | — | — | — | — | — | — | — | — | |
| GRAFF2022.11 | 88.38 | — | — | — | — | — | — | — | — | |
| ACM-GCN2022.11 | 87.84 | — | — | — | — | — | — | — | — | |
| GREAD-Z2022.11 | 87.3 | — | — | — | — | — | — | — | — | |
| GREAD-FB*2022.11 | 87.03 | — | — | — | — | — | — | — | — | |
| GREAD-FB2022.11 | 86.76 | — | — | — | — | — | — | — | — | |
| ACMP2022.11 | 86.2 | — | — | — | — | — | — | — | — | |
| GREAD-AC2022.11 | 85.95 | — | — | — | — | — | — | — | — | |
| GCON-GCN2022.11 | 85.4 | — | — | — | — | — | — | — | — | |
| Sheaf2022.11 | 85.05 | — | — | — | — | — | — | — | — | |
| H2GCN2022.11 | 84.86 | — | — | — | — | — | — | — | — | |
| GGCN2022.11 | 84.86 | — | — | — | — | — | — | — | — | |
| GloGNN2022.11 | 84.32 | — | — | — | — | — | — | — | — | |
| WRGAT2022.11 | 83.62 | — | — | — | — | — | — | — | — | |
| BLEND2022.11 | 83.24 | — | — | — | — | — | — | — | — | |
| GraphSAGE2022.11 | 82.43 | — | — | — | — | — | — | — | — | |
| FA-GCN2022.11 | 82.43 | — | — | — | — | — | — | — | — | |
| GCON-GAT2022.11 | 82.2 | — | — | — | — | — | — | — | — | |
| GREAD-ST2022.11 | 81.08 | — | — | — | — | — | — | — | — | |
| MLP2022.11 | 80.81 | — | — | — | — | — | — | — | — | |
| GPR-GNN2022.11 | 78.38 | — | — | — | — | — | — | — | — | |
| ChebNet2022.11 | 78.37 | — | — | — | — | — | — | — | — | |
| MixHop2022.11 | 77.84 | — | — | — | — | — | — | — | — | |
| GCNII2022.11 | 77.57 | — | — | — | — | — | — | — | — | |
| GRAND2022.11 | 75.68 | — | — | — | — | — | — | — | — | |
| LINKX2022.11 | 74.6 | — | — | — | — | — | — | — | — | |
| GDE2022.11 | 74.05 | — | — | — | — | — | — | — | — | |
| CGNN2022.11 | 71.35 | — | — | — | — | — | — | — | — | |
| Geom-GCN2022.11 | 66.76 | — | — | — | — | — | — | — | — | |
| JKNet2022.11 | 62.7 | — | — | — | — | — | — | — | — | |
| PairNorm2022.11 | 60.27 | — | — | — | — | — | — | — | — | |
| SGC2022.11 | 58.1 | — | — | — | — | — | — | — | — | |
| GCN2022.11 | 55.14 | — | — | — | — | — | — | — | — | |
| GAT2022.11 | 52.16 | — | — | — | — | — | — | — | — | |
| RDGNN-S2024.06 | 0.9459 | — | — | — | — | — | — | — | — | |
| MC-GPB (+)Defense Method=MC-GPB (+), Backbone Architecture=GPR-GNN2026.06 | 0.942 | — | — | — | — | — | — | — | — | |
| FgGSL2025.12 | 0.94 | — | — | — | — | — | — | — | — | |
| Sine-Poly(A)-plactivation=Sine, filter=per-layer2026.02 | 0.9369 | — | — | — | — | — | — | — | — | |
| RDGNN-I2024.06 | 0.9351 | — | — | — | — | — | — | — | — | |
| PDE-GCNMLayers=322021.08 | 0.9324 | — | — | — | — | — | — | — | — | |
| PDE-GCN-M2024.06 | 0.9324 | — | — | — | — | — | — | — | — | |
| BernNetK=102021.06 | 0.9312 | — | 0.0065 | — | — | — | — | — | — | |
| GPR-GNN2021.06 | 0.9295 | — | 0.0131 | — | — | — | — | — | — | |
| ReLU-Poly(A)-shactivation=ReLU, filter=shared2026.02 | 0.9279 | — | — | — | — | — | — | — | — | |
| 2-HiGCNArchitecture=2-HiGCN2024.12 | 0.9245 | — | — | — | — | — | — | — | — | |
| PDE-GCNHLayers=642021.08 | 0.9216 | — | — | — | — | — | — | — | — | |
| GNSNMethod Category=New, Trials=102026.05 | 0.9189 | — | — | — | — | — | — | — | — | |
| MLP2021.06 | 0.9145 | — | 0.0114 | — | — | — | — | — | — | |
| APPNP2021.06 | 0.9098 | — | 0.0164 | — | — | — | — | — | — | |
| PDE-GCNDLayers=82021.08 | 0.9081 | — | — | — | — | — | — | — | — | |
| LRGNN2024.08 | 0.9027 | — | — | — | — | — | — | — | — | |
| ReLU-Poly(A)-plactivation=ReLU, filter=per-layer2026.02 | 0.9009 | — | — | — | — | — | — | — | — | |
| CNAArchitecture=GraphSAGE2024.12 | 0.9 | — | — | — | — | — | — | — | — | |
| DiagChebyT4SDSheaf Type=Diagonal, Polynomial=Chebyshev, Order=T42025.11 | 0.9 | — | — | — | — | — | — | — | — | |
| GNFBC2026.03 | 0.899 | — | — | — | — | — | — | — | — | |
| BundleChebyT1SDSheaf Type=Bundle, Polynomial=Chebyshev, Order=T12025.11 | 0.8974 | — | — | — | — | — | — | — | — | |
| GREAD†2024.06 | 0.8973 | — | — | — | — | — | — | — | — | |
| MUSE2024.08 | 0.8973 | — | — | — | — | — | — | — | — | |
| GraspLLMBackbone=LLaMA-3.1-8B, Evaluation Protocol=Zero-shot2026.06 | 0.895 | — | — | — | — | — | — | — | — | |
| DMP†2024.06 | 0.8919 | — | — | — | — | — | — | — | — | |
| BES2026.06 | 0.8919 | — | — | — | — | — | — | — | — | |
| IGCL2026.06 | 0.891 | — | — | — | — | — | — | — | — | |
| GREADMethod Category=Diff. equation, Trials=102026.05 | 0.8892 | — | — | — | — | — | — | — | — | |
| DiagChebyT1SDSheaf Type=Diagonal, Polynomial=Chebyshev, Order=T12025.11 | 0.8868 | — | — | — | — | — | — | — | — | |
| SGOS-Expn2026.02 | 0.8865 | — | — | — | — | — | — | — | — | |
| Best-DSNN2026.03 | 0.8865 | — | — | — | — | — | — | — | — | |
| HDP2024.05 | 0.8838 | — | — | — | — | — | — | — | — | |
| GRAFF†2024.06 | 0.8838 | — | — | — | — | — | — | — | — | |
| ACMII-GCN++2024.06 | 0.8838 | — | — | — | — | — | — | — | — | |
| ACM-GCN+2023.05 | 0.8838 | — | — | — | — | — | — | — | — | |
| SOTA2024.10 | 0.8838 | — | — | — | — | — | — | — | — | |
| GRAFFMethod Category=Diff. equation, Trials=102026.05 | 0.8838 | — | — | — | — | — | — | — | — | |
| AxelGNN2025.09 | 0.8836 | — | — | — | — | — | — | — | — | |
| LG-GNN2026.03 | 0.8836 | — | — | — | — | — | — | — | — | |
| GNFBC(w/o Lneg)negative feedback loss=excluded2026.03 | 0.8821 | — | — | — | — | — | — | — | — | |
| PCNet2025.09 | 0.8811 | — | — | — | — | — | — | — | — | |
| PloyGCLMethod Category=Hetero-oriented, Trials=102026.05 | 0.8803 | — | — | — | — | — | — | — | — | |
| ISN2026.03 | 0.8801 | — | — | — | — | — | — | — | — | |
| RiSNN - NoTVariant=NoT2025.11 | 0.8789 | — | — | — | — | — | — | — | — | |
| Best-RiSNN2026.03 | 0.8789 | — | — | — | — | — | — | — | — | |
| ACM-GCNtrials=102022.05 | 0.8784 | — | — | — | — | — | — | — | — | |
| ACM-GCN2024.05 | 0.8784 | — | — | — | — | — | — | — | — | |
| ACM-GCN2023.05 | 0.8784 | — | — | — | — | — | — | — | — | |
| ACM-GCN2025.09 | 0.8784 | — | — | — | — | — | — | — | — | |
| HLP Concat2021.06 | 0.8757 | — | — | — | — | — | — | — | — | |
| G2†2024.06 | 0.8757 | — | — | — | — | — | — | — | — | |
| Best-NLSD2026.03 | 0.8757 | — | — | — | — | — | — | — | — | |
| GNRF2025.09 | 0.8739 | — | — | — | — | — | — | — | — | |
| Best-jDSNN2026.03 | 0.8737 | — | — | — | — | — | — | — | — | |
| FSGNNEvaluation protocol=fully-supervised, Hop count=32021.05 | 0.873 | — | — | — | — | — | — | — | — | |
| FSGNNEvaluation protocol=fully-supervised, Hop count=82021.05 | 0.873 | — | — | — | — | — | — | — | — | |
| Best-CSNN2026.03 | 0.873 | — | — | — | — | — | — | — | — | |
| Best-NSP2026.03 | 0.8703 | — | — | — | — | — | — | — | — | |
| GREET2024.08 | 0.8703 | — | — | — | — | — | — | — | — | |
| GREET2023.12 | 0.87 | — | — | — | — | — | — | — | — | |
| Cont BundleChebySDcontinuous-time=true2025.11 | 0.8684 | — | — | — | — | — | — | — | — | |
| GraspLLMBackbone=Vicuna-7B-v1.5, Evaluation Protocol=Zero-shot2026.06 | 0.868 | — | — | — | — | — | — | — | — | |
| GraspLLMBackbone=Qwen3-8B, Evaluation Protocol=Zero-shot2026.06 | 0.868 | — | — | — | — | — | — | — | — | |
| UGTpre-training=true2023.08 | 0.8667 | — | — | — | — | — | — | — | — |