Node Classification on NBA (H(Acc, ΔDP, ΔEO))
11.6733H(Acc, ΔDP, ΔEO)FairGDiff
Evaluation results
| Method | Links | |
|---|---|---|
| FairGDiffFramework=Graph Contrastive Learning2026.03 | 11.6733 | |
| FairDropFramework=Graph Contrastive Learning, dropout rate=0.752026.03 | 7.5334 | |
| FairDropFramework=Graph Contrastive Learning, dropout rate=0.52026.03 | 5.6109 | |
| FairGDiff2026.03 | 3.8808 | |
| FairGenFramework=Graph Contrastive Learning2026.03 | 3.6595 | |
| GCLFramework=Graph Contrastive Learning2026.03 | 2.9669 | |
| FairDropDrop ratio=0.752026.03 | 2.7556 | |
| FairDropDrop ratio=0.52026.03 | 2.6625 | |
| FairGen2026.03 | 2.4764 | |
| FairWire2026.03 | 2.3242 | |
| MLP2026.03 | 1.2434 | |
| FairAdjFramework=Graph Contrastive Learning2026.03 | 1.0963 | |
| Diffusion2026.03 | 0.076 | |
| GCN2026.03 | 0.0086 | |
| DiffusionFramework=Graph Contrastive Learning2026.03 | 0.0061 | |
| GraphairFramework=Graph Contrastive Learning2026.03 | 0.0002 | |
| FairAdj2026.03 | 0 |