Node Classification on Penn 94
86.4AccuracyP2GNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| P2GNN2026.03 | 86.4 | 1.2 | |
| SIGMA2023.05 | 86.31 | — | |
| GloGNN++2026.03 | 85.74 | 2.3 | |
| GloGNN2023.05 | 85.74 | — | |
| GloGNN2026.03 | 85.57 | 3.2 | |
| LINKX2026.03 | 84.71 | 3.3 | |
| LINKX2023.05 | 84.71 | — | |
| MixHop2026.03 | 83.47 | 5.2 | |
| MixHop2023.05 | 83.47 | — | |
| GCNII2026.03 | 82.92 | 6.8 | |
| GCNII2023.05 | 82.92 | — | |
| ACM-GCN2026.03 | 82.52 | 7.7 | |
| ACMGCN2023.05 | 82.52 | — | |
| GCN2026.03 | 82.47 | 7.8 | |
| GCN2023.05 | 82.47 | — | |
| GAT2026.03 | 81.53 | 9.3 | |
| GAT2023.05 | 81.53 | — | |
| GPR-GNN2026.03 | 81.38 | 8.7 | |
| GPRGNN2023.05 | 81.38 | — | |
| H2GCN2023.05 | 81.31 | — | |
| w/o Step 2Method Category=Variants2025.12 | 75 | 8.6 | |
| FUELMethod Category=Proposed2025.12 | 74.6 | 2.4 | |
| WRGAT2023.05 | 74.32 | — | |
| w/o Step 1Method Category=Variants2025.12 | 74.3 | 8.3 | |
| BGRLMethod Category=CL2025.12 | 74.2 | 8.4 | |
| w/o ExpMethod Category=Variants2025.12 | 73.9 | 6.1 | |
| Naive XMethod Category=Naive2025.12 | 73.7 | 14 | |
| MLP2026.03 | 73.61 | 10.5 | |
| MLP2023.05 | 73.61 | — | |
| w/o SKMethod Category=Variants2025.12 | 71.6 | 5.5 | |
| DGIMethod Category=CL2025.12 | 67.6 | 11.7 | |
| MaskGAEMethod Category=Gen2025.12 | 63.5 | 9.5 | |
| GraphMAEMethod Category=Gen2025.12 | 59.1 | 9.7 |