Node Classification on German Dataset
61.49Balanced AccuracyFairGB
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FairGBBackbone=SAGE2026.02 | 61.49 | 66.48 | 68.81 | 7.46 | 7.69 | |
| SAGE2026.02 | 60.93 | 65.84 | 68.51 | 7.08 | 6.31 | |
| HSCCAFBackbone=SAGE2026.02 | 60.02 | 63.74 | 65.5 | 2.86 | 3.39 | |
| FairVGNNBackbone=GCN2026.02 | 59.79 | 63.97 | 66.45 | 8.98 | 10.93 | |
| FairGNNBackbone=GCN2026.02 | 59.71 | 64.73 | 65.57 | 9.39 | 7.97 | |
| GCN2026.02 | 57.71 | 60.78 | 73.25 | 3.71 | 5.76 | |
| FairSADBackbone=GCN2026.02 | 57.66 | 61.15 | 63.67 | 4.61 | 5.39 | |
| CAFBackbone=SAGE2026.02 | 57.58 | 61.87 | 62.96 | 4.46 | 6.15 | |
| GIN2026.02 | 57.52 | 59.58 | 59.1 | 9.59 | 10.14 |