Node Classification on Senate
92.7AccuracyAllDeepSets
Evaluation Results
| Method | Links | |
|---|---|---|
| AllDeepSets2026.05 | 92.7 | |
| DENSNET-D2026.05 | 92.7 | |
| AllDeepSetsArchitecture Tier=Native Tier (set-function / message passing), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 92.7 | |
| DENSNET-DArchitecture Tier=Density-Aware Tier (ours), Hidden dimension=128, Training Recipe=shared ANCS recipe2026.05 | 92.7 | |
| HGNN2026.05 | 87.6 | |
| HGNNArchitecture Tier=CE Tier (clique expansion), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 87.6 | |
| HNHN2026.05 | 79.6 | |
| HNHNArchitecture Tier=Native Tier (set-function / message passing), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 79.6 | |
| UniGNN2026.05 | 78.8 | |
| UniGNNArchitecture Tier=Native Tier (set-function / message passing), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 78.8 | |
| HealHGNN2026.02 | 76.06 | |
| KHGNN2026.02 | 71.23 | |
| AllSetTransformer2026.02 | 69.33 | |
| SheafHyperGNN2026.02 | 68.73 | |
| Deep-HGNN2026.02 | 68.39 | |
| PhenomNN2026.02 | 67.7 | |
| FrameHGNN2026.02 | 67.61 | |
| ED-HNN2026.02 | 64.79 | |
| MLP2026.05 | 61.2 | |
| MLPArchitecture Tier=Feature-only reference, Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 61.2 | |
| HyperGCN2026.05 | 55.4 | |
| HyperGCNArchitecture Tier=CE Tier (clique expansion), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 55.4 | |
| HNHN2026.02 | 50.93 | |
| HyperGCN2026.02 | 50.13 | |
| UniGCNII2026.02 | 49.3 | |
| HCHA2026.02 | 48.62 | |
| HGNN2026.02 | 48.59 | |
| AllDeepSets2026.02 | 48.17 |