Fraud Detection on Amazon (test)
97.89AUCGrad
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GradTraining ratio=40%2025.12 | 97.89 | — | 89.68 | |
| Grad-w/o GenTraining ratio=40%2025.12 | 97.79 | — | 88.13 | |
| P2GNN2026.03 | 97.64 | — | — | |
| BWGNNTraining ratio=40%2025.12 | 97.29 | — | 88.13 | |
| MLPTraining ratio=40%2025.12 | 97.04 | — | 86.95 | |
| Grad-w/o GuiTraining ratio=40%2025.12 | 96.94 | — | 87.64 | |
| GTAN2024.12 | 96.3 | 92.13 | 88.38 | |
| GHRN2026.03 | 96.19 | — | — | |
| MixHopTraining ratio=40%2025.12 | 96.03 | — | 86.44 | |
| GraphSAGETraining ratio=40%2025.12 | 95.85 | — | 84.74 | |
| PC-GNN2024.12 | 95.81 | 91.53 | 85.49 | |
| PC-GNN2026.03 | 95.55 | — | — | |
| AMNetTraining ratio=40%2025.12 | 95.11 | — | 83.64 | |
| GPRGNNTraining ratio=40%2025.12 | 94.75 | — | 76.75 | |
| GGADTraining ratio=40%2025.12 | 94.43 | — | 79.22 | |
| BWGNN2026.03 | 93.95 | — | — | |
| SVMTraining ratio=40%2025.12 | 93.76 | — | 82.8 | |
| TGEditorTraining ratio=40%2025.12 | 93.65 | — | 82.66 | |
| GPRGNN2026.03 | 93.58 | — | — | |
| GATTraining ratio=40%2025.12 | 93.04 | — | 60.67 | |
| GDC + GCNTraining ratio=40%2025.12 | 92.14 | — | 62.53 | |
| Grad-w/o WFuTraining ratio=40%2025.12 | 91.38 | — | 60.8 | |
| CARE-GNN2024.12 | 91.15 | 85.31 | 82.19 | |
| MLP2026.03 | 90.82 | — | — | |
| JKNet2026.03 | 89.7 | — | — | |
| GraphGPSTraining ratio=40%2025.12 | 89.35 | — | 65.02 | |
| CARE-GNNTraining ratio=40%2025.12 | 88.48 | — | 69.24 | |
| CARE-GNN2026.03 | 88.32 | — | — | |
| GraphConsis2024.12 | 87.82 | 78.19 | 73.36 | |
| GCNTraining ratio=40%2025.12 | 85.32 | — | 35.14 | |
| GAT2026.03 | 77.32 | — | — | |
| GraphSAGE2024.12 | 75.02 | 57.95 | 26.24 | |
| Semi-GNN2024.12 | 70.63 | 54.92 | 22.54 | |
| GraphormerTraining ratio=40%2025.12 | 66.81 | — | 28.97 | |
| FdGars2024.12 | 65.56 | 27.13 | 14.38 | |
| Player2Vec2024.12 | 61.85 | 24.51 | 12.91 | |
| GEM2024.12 | 52.61 | 9.41 | 11.59 | |
| GCN2026.03 | 50.83 | — | — |