Graph Anomaly Detection on T-Social static graph (40% train)
95.4F1-mEGNN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| EGNNTraining Ratio=40%2026.05 | 95.4 | 99.69 | 95.89 | |
| BWGNNTraining Ratio=40%2026.05 | 81.78 | 94.32 | 60.81 | |
| UniGADTraining Ratio=40%2026.05 | 78.67 | 91.65 | 58.33 | |
| GATTraining Ratio=40%2026.05 | 67.08 | 85.47 | 25.65 | |
| GCNTraining Ratio=40%2026.05 | 65.34 | 78.8 | 23.96 | |
| GTTraining Ratio=40%2026.05 | 63.66 | 83.43 | 20.82 | |
| GraphSAGETraining Ratio=40%2026.05 | 58.42 | 74.04 | 9.44 | |
| ChebyNetTraining Ratio=40%2026.05 | 58.31 | 73.56 | 12.04 | |
| GINTraining Ratio=40%2026.05 | 52.61 | 66.37 | 5.92 | |
| BernNetTraining Ratio=40%2026.05 | 51.94 | 64.68 | 4.88 | |
| PC-GNNTraining Ratio=40%2026.05 | 51.19 | 72.88 | 13.77 | |
| SGCTraining Ratio=40%2026.05 | 42.49 | 48.93 | 3.04 |