Fraud Detection on YelpChi (test)
99.08AUCGrad
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GradTraining ratio=40%2025.12 | 99.08 | — | 96.44 | |
| Grad-w/o GuiTraining ratio=40%2025.12 | 92.54 | — | 73.15 | |
| GTAN2024.12 | 92.41 | 79.88 | 75.13 | |
| BWGNNTraining ratio=40%2025.12 | 90.22 | — | 63.78 | |
| AMNetTraining ratio=40%2025.12 | 85.85 | — | 57.77 | |
| Grad-w/o GenTraining ratio=40%2025.12 | 84.83 | — | 54.89 | |
| P2GNN2026.03 | 84.43 | — | — | |
| GPRGNN2026.03 | 83.55 | — | — | |
| GHRN2026.03 | 82.88 | — | — | |
| BWGNN2026.03 | 82.55 | — | — | |
| MLPTraining ratio=40%2025.12 | 82.42 | — | 31.27 | |
| PC-GNN2024.12 | 81.74 | 66.82 | 48.1 | |
| SVMTraining ratio=40%2025.12 | 81.34 | — | 50.25 | |
| PC-GNN2026.03 | 81.18 | — | — | |
| GraphSAGETraining ratio=40%2025.12 | 80.44 | — | 46.83 | |
| TGEditorTraining ratio=40%2025.12 | 80.43 | — | 51.35 | |
| MixHopTraining ratio=40%2025.12 | 79.56 | — | 45.29 | |
| CARE-GNN2024.12 | 79.34 | 64.93 | 42.68 | |
| CARE-GNNTraining ratio=40%2025.12 | 77.96 | — | 36.63 | |
| JKNet2026.03 | 77.36 | — | — | |
| MLP2026.03 | 73.66 | — | — | |
| FdGars2024.12 | 73.32 | 44.2 | 27.09 | |
| GPRGNNTraining ratio=40%2025.12 | 73.11 | — | 32.97 | |
| CARE-GNN2026.03 | 73 | — | — | |
| GraphConsis2024.12 | 70.6 | 60.41 | 33.31 | |
| Player2Vec2024.12 | 70.03 | 41.21 | 24.73 | |
| Grad-w/o WFuTraining ratio=40%2025.12 | 66.55 | — | 29.95 | |
| GCNTraining ratio=40%2025.12 | 60.34 | — | 23.69 | |
| GATTraining ratio=40%2025.12 | 59.82 | — | 23.48 | |
| GDC + GCNTraining ratio=40%2025.12 | 56.93 | — | 18.94 | |
| GAT2026.03 | 54.59 | — | — | |
| GCN2026.03 | 54.13 | — | — | |
| GraphSAGE2024.12 | 53.64 | 45.08 | 17.12 | |
| GEM2024.12 | 52.7 | 10.6 | 18.07 | |
| Semi-GNN2024.12 | 51.61 | 10.23 | 18.11 |