Node Classification on Actor
77.83AccuracyWhole
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| WholeDescription=Full-data performance2026.05 | 77.83 | — | — | — | |
| AHGCDD2026.05 | 72.29 | — | — | — | |
| HG-Cond2026.05 | 71.64 | — | — | — | |
| Herding2026.05 | 70.28 | — | — | — | |
| HGCPA2026.05 | 66.4 | — | — | — | |
| SOTA2024.10 | 51.81 | — | — | — | |
| DiGGR2024.08 | 45.35 | — | — | — | |
| FavardGNNcross-validation splits=202023.02 | 43.05 | — | — | — | |
| OptBasisGNNcross-validation splits=202023.02 | 42.39 | — | — | — | |
| FC-GSSL2026.04 | 41.94 | — | — | — | |
| ChebNetII2023.02 | 41.75 | — | — | — | |
| BernNet2023.02 | 41.71 | — | — | — | |
| JacobiConv2023.02 | 41.17 | — | — | — | |
| FgGSL2025.12 | 41 | — | — | — | |
| MLP2023.02 | 40.18 | — | — | — | |
| GPR-GNN2023.02 | 39.91 | — | — | — | |
| APPNP2023.02 | 39.76 | — | — | — | |
| AxelGNN2025.09 | 39.3 | — | — | — | |
| EXPHORMER*2024.11 | 39.01 | — | — | — | |
| LHS2023.12 | 38.87 | — | — | — | |
| EXPHORMERBackbone=GAT2024.11 | 38.68 | — | — | — | |
| SPEXPHORMER2024.11 | 38.59 | — | — | — | |
| GraphPAE2026.04 | 38.55 | — | — | — | |
| MUSE2024.08 | 38.55 | — | — | — | |
| CATv3-supBase Model=GATv32023.12 | 38.5 | — | — | — | |
| GraphFMMethod Variant=NFT2024.07 | 38.01 | — | — | — | |
| GOAT + HDSE2023.08 | 38 | — | — | — | |
| CATv3-unsupBase Model=GATv3, Random Seed=1002023.12 | 38 | — | — | — | |
| Ordered GNN2023.02 | 37.99 | — | — | — | |
| OGNN2024.08 | 37.99 | — | — | — | |
| MbaGCNNumber of Layers=102025.01 | 37.97 | — | — | — | |
| NLMLP2020.05 | 37.9 | — | — | — | |
| NLGNN2023.12 | 37.9 | — | — | — | |
| SGFormer2023.08 | 37.9 | — | — | — | |
| CATv3-unsupBase Model=GATv3, Random Seed=02023.12 | 37.8 | — | — | — | |
| PCNet2025.09 | 37.8 | — | — | — | |
| GloGNN++trials=102022.05 | 37.7 | — | — | — | |
| GloGNN2024.05 | 37.7 | — | — | — | |
| CATv3-semiBase Model=GATv32023.12 | 37.7 | — | — | — | |
| GloGNN++2025.09 | 37.7 | — | — | — | |
| ARMA2023.02 | 37.67 | — | — | — | |
| AxelGNNSim2025.09 | 37.64 | — | — | — | |
| GGCNtrials=102022.05 | 37.54 | — | — | — | |
| GGCNLayers=Best across layers2021.02 | 37.54 | — | — | — | |
| GGCN2023.02 | 37.54 | — | — | — | |
| GGCN2024.05 | 37.54 | — | — | — | |
| GGCNNumber of Layers=82025.01 | 37.54 | — | — | — | |
| GGCN2025.09 | 37.54 | — | — | — | |
| GCNIItrials=102022.05 | 37.44 | — | — | — | |
| GCNIILayers=Best across layers2021.02 | 37.44 | — | — | — | |
| GCNIIVariant=best architecture2023.02 | 37.44 | — | — | — | |
| GCNII2024.05 | 37.44 | — | — | — | |
| GCNII2025.09 | 37.44 | — | — | — | |
| GCNIIRuns=10 independent runs2026.06 | 37.43 | — | — | 6 | |
| ChebNet2023.02 | 37.42 | — | — | — | |
| CoBFormer2023.08 | 37.4 | — | — | — | |
| GloGNN2024.03 | 37.36 | — | — | — | |
| GloGNNtrials=102022.05 | 37.35 | — | — | — | |
| LRGNN2024.08 | 37.34 | — | — | — | |
| GCNIINumber of Layers=82025.01 | 37.31 | — | — | — | |
| HDP2024.05 | 37.26 | — | — | — | |
| SPGCLTraining Data=X, A2026.06 | 37.23 | — | — | — | |
| HiGNN2024.03 | 37.21 | — | — | — | |
| GRAPHGPS2024.11 | 37.1 | — | — | — | |
| GPNN2023.12 | 37.08 | — | — | — | |
| TREE-G2022.07 | 37 | — | — | — | |
| NodeFormer2023.08 | 36.9 | — | — | — | |
| CATv3-unsupBase Model=GATv3, Random Seed=102023.12 | 36.9 | — | — | — | |
| NODEFORMER2024.11 | 36.9 | — | — | — | |
| GCN-MLP2025.09 | 36.79 | — | — | — | |
| MLP2024.05 | 36.7 | — | — | — | |
| ACM-GCN2024.05 | 36.63 | — | — | — | |
| GREET2023.12 | 36.6 | — | — | — | |
| GCN-MLPAttack=clean2025.09 | 36.56 | — | — | — | |
| GCN-MLPAttack=Metattack2025.09 | 36.56 | — | — | — | |
| GCN-MLPAttack=clean2025.09 | 36.56 | — | — | — | |
| GCN-MLPAttack=Metattack2025.09 | 36.56 | — | — | — | |
| GREET2024.08 | 36.55 | — | — | — | |
| MLPtrials=102022.05 | 36.53 | — | — | — | |
| WRGATtrials=102022.05 | 36.53 | — | — | — | |
| MLPLayers=Best across layers2021.02 | 36.53 | — | — | — | |
| MLPLayers=22023.02 | 36.53 | — | — | — | |
| WRGAT2024.05 | 36.53 | — | — | — | |
| SIGN2023.08 | 36.5 | — | — | — | |
| GCN-MLPAttack=PRBCD2025.09 | 36.47 | — | — | — | |
| GCN-MLPAttack=PRBCD2025.09 | 36.47 | — | — | — | |
| LHK-GNNRuns=10 independent runs2026.06 | 36.45 | — | — | 3.6 | |
| GLOGNN2024.11 | 36.4 | — | — | — | |
| WRGAT2025.09 | 36.33 | — | — | — | |
| GraphFMMethod Variant=MFT2024.07 | 36.29 | — | — | — | |
| ACM-GCNtrials=102022.05 | 36.28 | — | — | — | |
| ACM-GCN2025.09 | 36.28 | — | — | — | |
| H2GCN2024.03 | 36.23 | — | — | — | |
| SimP-GCN2023.12 | 36.2 | — | — | — | |
| GCN-MLPAttack=Random2025.09 | 36.19 | — | — | — | |
| GCN-MLPAttack=Random2025.09 | 36.19 | — | — | — | |
| WRGAT2024.03 | 36.15 | — | — | — | |
| GCN-MLPAttack=Nettack2025.09 | 36.14 | — | — | — | |
| GCN-MLPAttack=Nettack2025.09 | 36.14 | — | — | — | |
| LINKXtrials=102022.05 | 36.1 | — | — | — |