Node Classification on Roman-Empire
94.77AccuracyNT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| NT2026.04 | 94.77 | — | — | — | |
| Dir-Poly2026.05 | 94.51 | — | — | — | |
| SSN2025.05 | 93.52 | — | — | — | |
| GraphTARIF2026.05 | 93.23 | — | — | — | |
| PolynormerImplementation=ours2024.06 | 92.66 | — | — | — | |
| Polynormer2026.05 | 92.66 | — | — | — | |
| SIES2026.06 | 92.65 | — | — | — | |
| Polynormer-rNumber of runs=10, Activation=ReLU2024.03 | 92.55 | — | — | — | |
| PolynormerImplementation=reported2024.06 | 92.55 | — | — | — | |
| Polynormer2026.02 | 92.55 | — | — | — | |
| Polynormer2025.05 | 92.55 | — | — | — | |
| Polynormer2026.05 | 92.55 | — | — | — | |
| Polynormer2026.06 | 92.55 | — | — | — | |
| MAVNBackbone=GAT2026.06 | 92.3 | — | — | — | |
| FaberNet2023.10 | 92.24 | — | — | — | |
| CoED2026.05 | 92.17 | — | — | — | |
| PolynormerNumber of runs=10, Activation=Default2024.03 | 92.13 | — | — | — | |
| L2G-Net2026.02 | 92.12 | — | — | — | |
| Stable-ChebNet2026.02 | 92.03 | — | — | — | |
| BuNN2026.05 | 91.75 | — | — | — | |
| GCNRefinement=TS2026.05 | 91.66 | — | — | — | |
| CDE2026.04 | 91.64 | — | — | — | |
| MAVNBackbone=GCN2026.06 | 91.64 | — | — | — | |
| CO-GNNAggregation Function=(Σ, Σ)2026.02 | 91.57 | — | — | — | |
| Co-GNN2026.06 | 91.57 | — | — | — | |
| GCN†Recipe=Deep2026.05 | 91.45 | — | — | — | |
| CO-GNNAggregation Function=(µ, µ)2026.02 | 91.37 | — | — | — | |
| Dir-GNN2023.10 | 91.3 | — | — | — | |
| GCNImplementation=ours2024.06 | 91.27 | — | — | — | |
| SAGERefinement=TS2026.05 | 91.27 | — | — | — | |
| Dir-GNN2023.05 | 91.23 | — | — | — | |
| DIR-GNNNumber of runs=102024.03 | 91.23 | — | — | — | |
| Dir-GNN2025.05 | 91.23 | — | — | — | |
| Dir-GNN2026.04 | 91.23 | — | — | — | |
| DIR-GNNrobust diffusion and HRP=false2026.05 | 91.2 | — | — | — | |
| GCN2026.05 | 91.15 | — | — | — | |
| GraphSAGEImplementation=ours2024.06 | 91.06 | — | — | — | |
| GraphSAGE2025.05 | 91.06 | — | — | — | |
| GraphSAGE*variant=enhanced2026.06 | 91.06 | — | — | — | |
| MAVNBackbone=GraphSAGE2026.06 | 91.03 | — | — | — | |
| SAGE†Recipe=Deep2026.05 | 91.02 | — | — | — | |
| GATRefinement=TS2026.05 | 90.93 | — | — | — | |
| MP-SSM2026.02 | 90.91 | — | — | — | |
| GCN2026.06 | 90.81 | — | — | — | |
| GATImplementation=ours2024.06 | 90.63 | — | — | — | |
| GAT*variant=enhanced2026.06 | 90.63 | — | — | — | |
| GAT†Recipe=Deep2026.05 | 90.62 | — | — | — | |
| SAGE2026.05 | 90.5 | — | — | — | |
| GAT2026.05 | 90.49 | — | — | — | |
| GAT2026.06 | 90.39 | — | — | — | |
| GraphSAGE2026.06 | 89.81 | — | — | — | |
| DSHNLight2025.10 | 89.24 | — | — | — | |
| GraphCON2026.06 | 89.18 | — | — | — | |
| ExphormerNumber of runs=102024.03 | 89.03 | — | — | — | |
| EXPHORMERBackbone=GAT2024.11 | 89.03 | — | — | — | |
| Exphormer2026.02 | 89.03 | — | — | — | |
| GAT-seprobust diffusion and HRP=false2026.05 | 88.8 | — | — | — | |
| MPSNN2025.05 | 88.76 | — | — | — | |
| GAT-sepNumber of runs=102024.03 | 88.75 | — | — | — | |
| GATImplementation=reported2024.06 | 88.75 | — | — | — | |
| GAT-sep2026.04 | 88.75 | — | — | — | |
| GAT2026.06 | 88.75 | — | — | — | |
| GRAMA_GCN2026.02 | 88.61 | — | — | — | |
| MagNet2023.10 | 88.07 | — | — | — | |
| MagNet2023.05 | 88.07 | — | — | — | |
| GMN2026.02 | 87.69 | — | — | — | |
| SPEXPHORMER2024.11 | 87.54 | — | — | — | |
| GTArchitecture Variant=sep2026.02 | 87.32 | — | — | — | |
| UniGCN2026.06 | 87.21 | — | — | — | |
| GATPositional/Structural Encoding=RWSE2026.02 | 86.62 | — | — | — | |
| GT2026.02 | 86.51 | — | — | — | |
| GCN+ReP2026.05 | 86.43 | — | — | — | |
| ReP2026.06 | 86.43 | — | — | — | |
| GraphSAGENumber of runs=102024.03 | 85.74 | — | — | — | |
| GraphSAGEImplementation=reported2024.06 | 85.74 | — | — | — | |
| SAGE2026.02 | 85.74 | — | — | — | |
| GraphSAGE2026.04 | 85.74 | — | — | — | |
| GraphSAGE2026.06 | 85.74 | — | — | — | |
| SAGErobust diffusion and HRP=false2026.05 | 85.7 | — | — | — | |
| HOGA+robust diffusion and HRP=true2026.05 | 85.5 | — | — | — | |
| GARNN+robust diffusion and HRP=true2026.05 | 85.5 | — | — | — | |
| BloomGML2026.04 | 85.26 | — | — | — | |
| EXPHORMER*2024.11 | 84.91 | — | — | — | |
| GCNPositional/Structural Encoding=RWSE2026.02 | 84.84 | — | — | — | |
| GATPositional/Structural Encoding=LapPE2026.02 | 84.8 | — | — | — | |
| GPSGCN+PerformerPositional/Structural Encoding=RWSE2026.02 | 84.72 | — | — | — | |
| AGDN-HC2026.06 | 84.55 | — | — | — | |
| GPSGCN+PerformerPositional/Structural Encoding=LapPE2026.02 | 83.96 | — | — | — | |
| IPR-MPNN2024.05 | 83.9 | — | — | — | |
| IPR-MPNN2026.06 | 83.9 | — | — | — | |
| GeDi-HNN2025.10 | 83.87 | — | — | — | |
| ED-HNN2025.10 | 83.82 | — | — | — | |
| Best 2LLayers=22026.05 | 83.73 | — | — | — | |
| AllSetTransformer2025.10 | 83.53 | — | — | — | |
| DNSD (diag)Map=diag, Adj=true, Odd=true, Gate=true, Best layer depth=L82026.05 | 83.4 | — | — | — | |
| DNSD (diag)Map=diag, Adj=false, Odd=true, Gate=true, Best layer depth=L82026.05 | 83.4 | — | — | — | |
| GCNPositional/Structural Encoding=LapPE2026.02 | 83.37 | — | — | — | |
| DNSD (diag)Map=diag, Adj=true, Odd=true, Gate=false, Best layer depth=L82026.05 | 83.2 | — | — | — | |
| GPS + Mamba2026.02 | 83.1 | — | — | — | |
| GAMLP+robust diffusion and HRP=true2026.05 | 83.1 | — | — | — |