Node Classification on Gene-Dis.
87.8AccuracyHNHN
Evaluation Results
| Method | Links | |
|---|---|---|
| HNHN2026.05 | 87.8 | |
| HNHNArchitecture Tier=Native Tier (set-function / message passing), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 87.8 | |
| AllDeepSets2026.05 | 86.1 | |
| AllDeepSetsArchitecture Tier=Native Tier (set-function / message passing), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 86.1 | |
| DENSNET-D2026.05 | 86 | |
| DENSNET-DArchitecture Tier=Density-Aware Tier (ours), Hidden dimension=128, Training Recipe=shared ANCS recipe2026.05 | 86 | |
| HGNN2026.05 | 85.7 | |
| HGNNArchitecture Tier=CE Tier (clique expansion), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 85.7 | |
| UniGNN2026.05 | 85.4 | |
| UniGNNArchitecture Tier=Native Tier (set-function / message passing), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 85.4 | |
| HyperGCN2026.05 | 81.3 | |
| HyperGCNArchitecture Tier=CE Tier (clique expansion), Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 81.3 | |
| MLP2026.05 | 36.4 | |
| MLPArchitecture Tier=Feature-only reference, Hidden dimension=64, Training Recipe=shared ANCS recipe2026.05 | 36.4 |