Graph Anomaly Detection on T-Finance static graph (40% train)
89.6F1-mEGNN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| EGNNTraining Ratio=40%2026.05 | 89.6 | 95.39 | 84.39 | |
| UniGADTraining Ratio=40%2026.05 | 89.34 | 95.14 | 84.71 | |
| ChebyNetTraining Ratio=40%2026.05 | 85.7 | 93.29 | 75.37 | |
| PC-GNNTraining Ratio=40%2026.05 | 85.62 | 92.17 | 73.7 | |
| BWGNNTraining Ratio=40%2026.05 | 84.67 | 93.12 | 73.84 | |
| GATTraining Ratio=40%2026.05 | 81.56 | 91.69 | 55.9 | |
| BernNetTraining Ratio=40%2026.05 | 81.48 | 90.66 | 52.9 | |
| GINTraining Ratio=40%2026.05 | 79.65 | 84.41 | 51.83 | |
| GCNTraining Ratio=40%2026.05 | 72.63 | 85.59 | 43.45 | |
| GTTraining Ratio=40%2026.05 | 64.63 | 78.5 | 19.87 | |
| SGCTraining Ratio=40%2026.05 | 57.92 | 51.91 | 15.76 | |
| GraphSAGETraining Ratio=40%2026.05 | 57.04 | 57.98 | 8.71 |