Graph Anomaly Detection on Amazon static graph (40% train)
91.52F1-mEGNN
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| EGNNTraining Ratio=40%2026.05 | 91.52 | 96.32 | 89.4 | |
| BWGNNTraining Ratio=40%2026.05 | 91.4 | 96.17 | 86.42 | |
| BernNetTraining Ratio=40%2026.05 | 91.31 | 93.83 | 84.01 | |
| ChebyNetTraining Ratio=40%2026.05 | 91.03 | 95.76 | 86.18 | |
| UniGADTraining Ratio=40%2026.05 | 90.46 | 96.6 | 86.65 | |
| GTTraining Ratio=40%2026.05 | 89.14 | 90.75 | 76.2 | |
| GINTraining Ratio=40%2026.05 | 88.93 | 92.32 | 80.29 | |
| GATTraining Ratio=40%2026.05 | 85.7 | 93.29 | 75.37 | |
| GraphSAGETraining Ratio=40%2026.05 | 75.28 | 88.9 | 66.2 | |
| PC-GNNTraining Ratio=40%2026.05 | 67.04 | 81.8 | 29.36 | |
| GCNTraining Ratio=40%2026.05 | 63.22 | 82.2 | 34.15 | |
| SGCTraining Ratio=40%2026.05 | 63.06 | 77.1 | 23.68 |