Node Classification on Chameleon
87.22AccuracyGDE
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| GDEData splits=102026.05 | 87.22 | — | — | — | — | — | |
| CNAArchitecture=Dir-GNN2024.12 | 85.86 | — | — | — | — | — | |
| FC-GSSL2026.04 | 82.31 | — | — | — | — | — | |
| GraphPAE2026.04 | 80.51 | — | — | — | — | — | |
| DJ-GNNsplit=48%/32%/20%, random_splits=102023.06 | 80.48 | — | — | — | — | — | |
| DJ-GNNArchitecture=DJ-GNN2024.12 | 80.48 | — | — | — | — | — | |
| FaberNet2023.10 | 80.33 | — | — | — | — | — | |
| ScaleNetType=Ours, loop_α, β, γ=0_1,1,12024.11 | 80.1 | — | — | — | — | — | |
| Dir-GNN2023.10 | 79.74 | — | — | — | — | — | |
| Dir-GNN2023.05 | 79.71 | — | — | — | — | — | |
| SOTA2024.10 | 79.71 | — | — | — | — | — | |
| Dir-GNNType=BiDirection2024.11 | 79.7 | — | — | — | — | — | |
| GraphMAE2026.04 | 79.5 | — | — | — | — | — | |
| GraphMAE22026.04 | 79.13 | — | — | — | — | — | |
| FgGSL2025.12 | 79 | — | — | — | — | — | |
| Sp2GCL2026.04 | 78.88 | — | — | — | — | — | |
| FSGNNEvaluation protocol=fully-supervised, Hop count=82021.05 | 78.27 | — | — | — | — | — | |
| FSGNN(8-HOP)split=48%/32%/20%, random_splits=102023.06 | 78.27 | — | — | — | — | — | |
| FSGNN2023.10 | 78.27 | — | — | — | — | — | |
| FSGNN2023.05 | 78.27 | — | — | — | — | — | |
| FSGNNEvaluation protocol=fully-supervised, Hop count=32021.05 | 78.14 | — | — | — | — | — | |
| Sort-MPNN2024.10 | 78.11 | — | — | — | — | — | |
| Best SpecializedEvaluation Setting=transductive, Reference=[35]2024.07 | 77.85 | — | — | — | — | — | |
| HLP Concat2021.06 | 77.48 | — | — | — | — | — | |
| GGCNsplit=48%/32%/20%, random_splits=102023.06 | 77.14 | — | — | — | — | — | |
| GESN2022.10 | 76.2 | — | — | — | — | — | |
| GloGNN2024.03 | 75.68 | — | — | — | — | — | |
| SADE-GCN2023.05 | 75.57 | — | — | — | — | — | |
| RepNodesModel=GCN, Features=No2026.05 | 75.07 | — | — | — | — | — | |
| CCA-SSG2026.04 | 75 | — | — | — | — | — | |
| RDGNN-I2024.06 | 74.79 | — | — | — | — | — | |
| GHCEvaluation Setting=transductive2024.07 | 74.78 | — | — | — | — | — | |
| ACMII-GCN++split=48%/32%/20%, random_splits=102023.06 | 74.76 | — | — | — | — | — | |
| ACM-GCN2023.10 | 74.76 | — | — | — | — | — | |
| ACM-GCN2023.05 | 74.76 | — | — | — | — | — | |
| ACMII-GCN++2024.06 | 74.76 | — | — | — | — | — | |
| MaskGAE2026.04 | 74.5 | — | — | — | — | — | |
| ACM-GCN+2023.05 | 74.47 | — | — | — | — | — | |
| LW-GCNWeight for fc=0.9862021.10 | 74.4 | — | — | — | — | — | |
| OptBasisGNNcross-validation splits=202023.02 | 74.26 | — | — | — | — | — | |
| JacobiConv2023.02 | 74.2 | — | — | — | — | — | |
| MM-FGCNData splits=102026.05 | 73.97 | — | — | — | — | — | |
| RepNodesModel=GCN, Features=Yes2026.05 | 73.83 | — | — | — | — | — | |
| MVGRL2026.04 | 73.19 | — | — | — | — | — | |
| ASGCsplit=48%/32%/20%, random_splits=102023.06 | 73.16 | — | — | — | — | — | |
| HGODE2026.04 | 72.56 | — | — | — | — | — | |
| HGODE2026.04 | 72.56 | — | — | — | — | — | |
| FavardGNNcross-validation splits=202023.02 | 72.32 | — | — | — | — | — | |
| LHS2023.12 | 72.31 | — | — | — | — | — | |
| Ordered GNN2023.02 | 72.28 | — | — | — | — | — | |
| ORDERED GNNsplit=48%/32%/20%, random_splits=102023.06 | 72.28 | — | — | — | — | — | |
| SPGCLTraining Data=X, A2026.06 | 72.26 | — | — | — | — | — | |
| SIGMA2023.05 | 72.13 | — | — | — | — | — | |
| RepNodesModel=GIN, Features=No2026.05 | 71.89 | — | — | — | — | — | |
| RepEdgesModel=GIN, Features=No2026.05 | 71.89 | — | — | — | — | — | |
| GNSNMethod Category=New, Trials=102026.05 | 71.85 | — | — | — | — | — | |
| GNSNData splits=102026.05 | 71.85 | — | — | — | — | — | |
| RepEdgesModel=GCN, Features=No2026.05 | 71.72 | — | — | — | — | — | |
| FROND2026.04 | 71.62 | — | — | — | — | — | |
| PloyGCLMethod Category=Hetero-oriented, Trials=102026.05 | 71.62 | — | — | — | — | — | |
| PloyGCLData splits=102026.05 | 71.62 | — | — | — | — | — | |
| HDP2024.05 | 71.56 | — | — | — | — | — | |
| DiagChebyT4SDSheaf Type=Diagonal, Polynomial=Chebyshev, Order=T42025.11 | 71.45 | — | — | — | — | — | |
| FRONDMethod Category=Cont.-t., Trials=102026.05 | 71.45 | — | — | — | — | — | |
| FRONDData splits=102026.05 | 71.45 | — | — | — | — | — | |
| GREAD-BS2026.04 | 71.42 | — | — | — | — | — | |
| Gradient Gating2023.10 | 71.4 | — | — | — | — | — | |
| Gradient Gating2023.05 | 71.4 | — | — | — | — | — | |
| G2†2024.06 | 71.4 | — | — | — | — | — | |
| GREAD-BS2022.11 | 71.38 | — | — | — | — | — | |
| GRAFF†2024.06 | 71.38 | — | — | — | — | — | |
| GREAD†2024.06 | 71.38 | — | — | — | — | — | |
| GREADMethod Category=Diff. equation, Trials=102026.05 | 71.38 | — | — | — | — | — | |
| GREADData splits=102026.05 | 71.38 | — | — | — | — | — | |
| ChebNetII2023.02 | 71.37 | — | — | — | — | — | |
| RepEdgesModel=GCN, Features=Yes2026.05 | 71.37 | — | — | — | — | — | |
| RepNodesModel=GIN, Features=Yes2026.05 | 71.28 | — | — | — | — | — | |
| RepEdgesModel=GIN, Features=Yes2026.05 | 71.28 | — | — | — | — | — | |
| GPNN2023.12 | 71.27 | — | — | — | — | — | |
| GloGNN++trials=102022.05 | 71.21 | — | — | — | — | — | |
| GloGNN2023.10 | 71.21 | — | — | — | — | — | |
| GloGNN2023.05 | 71.21 | — | — | — | — | — | |
| ACM-GCN2024.05 | 71.21 | — | — | — | — | — | |
| GloGNN2024.05 | 71.21 | — | — | — | — | — | |
| RDGNN-S2024.06 | 71.21 | — | — | — | — | — | |
| GloGNN++2023.05 | 71.21 | — | — | — | — | — | |
| GloGNN2023.05 | 71.21 | — | — | — | — | — | |
| GloGNN++2021.10 | 71.2 | — | — | — | — | — | |
| GGCN2022.06 | 71.14 | — | — | — | — | — | |
| GGCNtrials=102022.05 | 71.14 | — | — | — | — | — | |
| GGCNLayers=Best across layers2021.02 | 71.14 | — | — | — | — | — | |
| GGCN2023.02 | 71.14 | — | — | — | — | — | |
| GGCN2022.11 | 71.14 | — | — | — | — | — | |
| LINKX2024.05 | 71.14 | — | — | — | — | — | |
| GGCN2024.06 | 71.14 | — | — | — | — | — | |
| GGCN2023.05 | 71.14 | — | — | — | — | — | |
| GGCN2025.11 | 71.14 | — | — | — | — | — | |
| GGCNData splits=102026.05 | 71.14 | — | — | — | — | — | |
| GRAFF2022.11 | 71.08 | — | — | — | — | — | |
| GRAFFsplit=48%/32%/20%, random_splits=102023.06 | 71.08 | — | — | — | — | — |