Graph-level Anomaly Detection on COX2 (FPR95)
78.08FPR95LGKDE
Evaluation Results
| Method | Links | |
|---|---|---|
| LGKDECategory=GNN-based Deep Learning Methods2025.05 | 78.08 | |
| SIGNETCategory=GNN-based Deep Learning Methods2025.05 | 79.14 | |
| MUSECategory=GNN-based Deep Learning Methods2025.05 | 84.23 | |
| OCGTLCategory=GNN-based Deep Learning Methods2025.05 | 85.12 | |
| CVTGADCategory=GNN-based Deep Learning Methods2025.05 | 85.62 | |
| GLADCCategory=GNN-based Deep Learning Methods2025.05 | 85.67 | |
| UniFORMCategory=GNN-based Deep Learning Methods2025.05 | 85.89 | |
| PK-iFCategory=Graph Kernel + Detector2025.05 | 88.61 | |
| WL-iFCategory=Graph Kernel + Detector2025.05 | 89.29 | |
| OCGINCategory=GNN-based Deep Learning Methods2025.05 | 90.07 | |
| GLocalKDCategory=GNN-based Deep Learning Methods2025.05 | 91.04 | |
| WL-SVMCategory=Graph Kernel + Detector2025.05 | 97.05 | |
| PK-SVMCategory=Graph Kernel + Detector2025.05 | 97.83 |