Node Classification on Cora (test)
98.2Mean AccuracyMCCL
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| MCCLBase Model=GTNN, Curriculum Learning=true2023.07 | 98.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GTNNTraining Mode=Standard2023.07 | 91.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UltraTAG-SSparsity=0%2025.04 | 90.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SLBase Model=GTNN, Curriculum Learning=true2023.07 | 90.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Trend-SLBase Model=GTNN, Curriculum Learning=true2023.07 | 90.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGLM-DenoiserTraining set=Cora+Pubmed2026.03 | 90.04 | — | — | — | 88.94 | — | — | — | — | — | — | — | — | — | |
| RDGNN-I2024.06 | 89.91 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GraphSSRNumber of candidate categories=22026.03 | 89.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniGraphNumber of candidate categories=22026.03 | 89.74 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ANS-GT + HDSEstructural encoding=HDSE2023.08 | 89.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGLM-DecoderTraining set=Cora+Pubmed2026.03 | 89.67 | — | — | — | 88.14 | — | — | — | — | — | — | — | — | — | |
| RDGNN-S2024.06 | 89.53 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SignGT2023.10 | 89.34 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HiGCNOrder=22023.09 | 89.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCMambaTopological Abstraction=Rank-cell2026.01 | 89.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| JK-Netaggregator=concat2020.02 | 89.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Graph-R1Number of candidate categories=22026.03 | 89.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TAPESparsity=0%2025.04 | 89.07 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HiGCNOrder=32023.09 | 89 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPRGNN2023.10 | 88.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HiGCNOrder=12023.09 | 88.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GAT2023.10 | 88.96 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RGLM-SimilarizerTraining set=Cora+Pubmed2026.03 | 88.93 | — | — | — | 87.49 | — | — | — | — | — | — | — | — | — | |
| DiagPolySD2025.11 | 88.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FAGCN2023.10 | 88.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SimTeGSparsity=0%2025.04 | 88.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Coarformer2023.08 | 88.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ASPECTEvaluation Protocol=linear protocol2026.04 | 88.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HiGCNOrder=42023.09 | 88.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CurGraphBase Model=GTNN, Curriculum Learning=true2023.07 | 88.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ANS-GT2023.08 | 88.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PDE-GCNMsubscript=M2024.06 | 88.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPRGNN2023.09 | 88.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GloGNN2023.10 | 88.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GREAD2024.06 | 88.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GRACETraining set=Cora+Pubmed2026.03 | 88.56 | — | — | — | 87.55 | — | — | — | — | — | — | — | — | — | |
| LLaGATraining set=Cora+Pubmed2026.03 | 88.53 | — | — | — | 87.28 | — | — | — | — | — | — | — | — | — | |
| BernNet2023.09 | 88.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN-LPA2020.02 | 88.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCNII2024.06 | 88.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GeneralPolySD2025.11 | 88.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Specformer2023.10 | 88.41 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCNII2025.11 | 88.37 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| BundlePolySD2025.11 | 88.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPRGNN2023.08 | 88.27 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ACMII-GCN++2024.06 | 88.25 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN2020.02 | 88.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WRGAT2021.06 | 88.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WRGAT2024.06 | 88.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| APPNP2023.09 | 88.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCMambaTopological Abstraction=Graph2026.01 | 88.12 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PhenomNN2025.10 | 88.12 | — | — | — | — | — | — | — | — | — | — | 0.86 | — | — | |
| GAT2023.09 | 88.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DSHNLight2025.10 | 88.02 | — | — | — | — | — | — | — | — | — | — | 1.11 | — | — | |
| GRAFF†variant=maximal accuracy2024.06 | 88.01 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GGCN2024.06 | 87.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GGCN2024.10 | 87.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GGCN2025.11 | 87.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPRGNN2025.11 | 87.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| H2GCN2023.08 | 87.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCNII2022.05 | 87.89 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| H2GCN2024.06 | 87.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| H2GCN2025.11 | 87.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DSHN2025.10 | 87.84 | — | — | — | — | — | — | — | — | — | — | 0.9 | — | — | |
| ZeroGNumber of candidate categories=22026.03 | 87.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| H2GCN-22022.05 | 87.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| APPNP2022.05 | 87.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GAT2020.02 | 87.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| JKNet2023.08 | 87.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GGCN2023.09 | 87.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| H2GCNbest model variant=true2021.06 | 87.67 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SGC2023.10 | 87.66 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Gophormer2023.08 | 87.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MixHop2022.05 | 87.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MixHop2024.06 | 87.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MixHop2025.11 | 87.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniGNNIITopological Abstraction=Hypergraph2026.01 | 87.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| POLYGCLEvaluation Protocol=linear protocol2026.04 | 87.57 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniGCNII2025.10 | 87.53 | — | — | — | — | — | — | — | — | — | — | 1.06 | — | — | |
| GOFA-FNumber of candidate categories=22026.03 | 87.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN + BORFRewiring Method=BORF2024.06 | 87.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Adaptvariance reduction=true2018.09 | 87.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Co-GNN2024.10 | 87.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CCA-SSGEvaluation Protocol=linear protocol2026.04 | 87.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MVGRLEvaluation Protocol=linear protocol2026.04 | 87.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN2023.08 | 87.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NodeFormer2023.10 | 87.32 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Sheaf2024.10 | 87.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NSDrestriction maps=general2025.11 | 87.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NodeFormerTraining set=Cora+Pubmed2026.03 | 87.3 | — | — | — | 85.44 | — | — | — | — | — | — | — | — | — | |
| ARIELEvaluation Protocol=linear protocol2026.04 | 87.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN2023.10 | 87.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN2021.06 | 87.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GCN2022.05 | 87.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UDGNN*Backbone=GCN2022.05 | 87.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ComFyNode Features=With2026.05 | 87.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HGNN2025.10 | 87.25 | — | — | — | — | — | — | — | — | — | — | 1.01 | — | — | |
| GGDEvaluation Protocol=linear protocol2026.04 | 87.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ANSD2025.11 | 87.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MLP2025.11 | 87.16 | — | — | — | — | — | — | — | — | — | — | — | — | — |