Node Classification on German
74.9AccuracyFairAdj
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FairAdjFramework=Graph Contrastive Learning2026.03 | 74.9 | — | 0.99 | 0.78 | — | — | |
| FairGDiffFramework=Graph Contrastive Learning2026.03 | 74.27 | — | 0.12 | 0.17 | — | — | |
| FairGenFramework=Graph Contrastive Learning2026.03 | 74.04 | — | 0.02 | 0.05 | — | — | |
| GraphairFramework=Graph Contrastive Learning2026.03 | 73.69 | — | 4.89 | 4.58 | — | — | |
| DiffusionFramework=Graph Contrastive Learning2026.03 | 73.02 | — | 5.94 | 6.45 | — | — | |
| FairDropFramework=Graph Contrastive Learning, p=0.52026.03 | 72.84 | — | 9.73 | 7.72 | — | — | |
| GCLFramework=Graph Contrastive Learning2026.03 | 72.58 | — | 18.82 | 15.53 | — | — | |
| FairDropFramework=Graph Contrastive Learning, p=0.752026.03 | 71.78 | — | 11.13 | 11.94 | — | — | |
| ADPromptPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 65.5 | — | — | 2.14 | — | 2.62 | |
| ADPromptPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 65 | — | — | 2.34 | — | 2.37 | |
| ClassifierPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 64.5 | — | — | 4.52 | — | 2.63 | |
| FPromptPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 64.5 | — | — | 3.35 | — | 3.43 | |
| ADPromptPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 64.33 | — | — | 1.18 | — | 1.32 | |
| Cls. onlyPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 63.33 | — | — | 7.23 | — | 9.6 | |
| ADPromptPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 62.17 | — | — | 2.22 | — | 2.32 | |
| Self-proPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 62 | — | — | 2.96 | — | 5.51 | |
| Self-proPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 61.83 | — | — | 8.95 | — | 5.8 | |
| Adv. learningPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 61.8 | — | — | 0.82 | — | 6.39 | |
| FPromptPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 61.67 | — | — | 6.13 | — | 4.57 | |
| GraphPromptPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 61.5 | — | — | 2.21 | — | 2.51 | |
| GPF+Pre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 61 | — | — | 8.49 | — | 4.49 | |
| GPFPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 60.25 | — | — | 6.07 | — | 3.53 | |
| GraphPromptPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 60.17 | — | — | 6.44 | — | 5.63 | |
| Adv. learningPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 60.17 | — | — | 5.2 | — | 3.71 | |
| GPF+Pre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 59.33 | — | — | 5.58 | — | 4.02 | |
| GraphPromptPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 59.17 | — | — | 3.37 | — | 3.06 | |
| FPromptPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 58.67 | — | — | 3.47 | — | 3.73 | |
| Cls. onlyPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 58.5 | — | — | 8.5 | — | 7.29 | |
| GraphPromptPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 58.49 | — | — | 5.54 | — | 4.96 | |
| GPFPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 58.17 | — | — | 1.7 | — | 6.34 | |
| Adv. learningPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 57.83 | — | — | 2.58 | — | 4.06 | |
| Adv. learningPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 57 | — | — | 8.47 | — | 9.78 | |
| GPF+Pre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 56.83 | — | — | 4.78 | — | 5.07 | |
| Cls. onlyPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 55.5 | — | — | 5.72 | — | 7.09 | |
| FPromptPre-train Strategy=InfoMax, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 52.5 | — | — | 4.22 | — | 5.11 | |
| GPF+Pre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 51 | — | — | 6.5 | — | 6.97 | |
| Self-proPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 50.67 | — | — | 2.71 | — | 3.57 | |
| GPFPre-train Strategy=GAE, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 50.33 | — | — | 7.38 | — | 4.68 | |
| GPFPre-train Strategy=GraphCL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 50.07 | — | — | 7.09 | — | 3.73 | |
| Self-proPre-train Strategy=BGRL, Shot Count=50-shot, Backbone=2-layer GCN2025.10 | 47 | — | — | 5.74 | — | 9.2 | |
| DiffusionFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 3.4413 | — | |
| FairAdjFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 8.2017 | — | |
| FairDropFramework=Graph Contrastive Learning, dropout rate=0.52026.03 | — | — | — | — | 2.084 | — | |
| FairDropFramework=Graph Contrastive Learning, dropout rate=0.752026.03 | — | — | — | — | 0.79 | — | |
| FairGDiffFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 8.7715 | — | |
| FairGenFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 8.8193 | — | |
| GCLFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 0.0002 | — | |
| GraphairFramework=Graph Contrastive Learning2026.03 | — | — | — | — | 4.5838 | — |