Link Prediction on German
90.5Micro-F1Graphair
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Graphair2026.03 | 90.5 | 1.84 | 12.67 | 26.08 | — | |
| GCL2026.03 | 89.45 | 2.82 | 26.28 | 28.7 | — | |
| FairDropFairness Parameter=0.52026.03 | 85.5 | 8.34 | 29.38 | 17.01 | — | |
| FairDropFairness Parameter=0.752026.03 | 79.5 | 8.28 | 35.83 | 15.72 | — | |
| FairWire2026.03 | 77 | 0.3 | 6.42 | 9.04 | — | |
| FairAdj2026.03 | 70 | 0.16 | 9.62 | 9.84 | — | |
| Diffusion2026.03 | 67.9 | 0.39 | 20.95 | 22.78 | — | |
| FairGDiff2026.03 | 66.8 | 0.04 | 4.95 | 31.88 | — | |
| FairGen2026.03 | 63 | 1.16 | 18.17 | 15.12 | — | |
| DiffusionFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 12.0645 | |
| FairAdjFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 22.2711 | |
| FairDropFramework=Graph Contrastive Learning, dropout rate=0.52026.03 | — | — | — | — | 2.8664 | |
| FairDropFramework=Graph Contrastive Learning, dropout rate=0.752026.03 | — | — | — | — | 0.0686 | |
| FairGDiffFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 25.0539 | |
| FairGenFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 12.3626 | |
| GCLFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 8.7425 | |
| GraphairFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 23.121 |