Graph-level Anomaly Detection on BZR
66.25FPR95LGKDE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LGKDECategory=GNN-based Deep Learning Methods2025.05 | 66.25 | — | — | — | — | |
| UniFORMCategory=GNN-based Deep Learning Methods2025.05 | 68.23 | — | — | — | — | |
| MUSECategory=GNN-based Deep Learning Methods2025.05 | 69.78 | — | — | — | — | |
| SIGNETCategory=GNN-based Deep Learning Methods2025.05 | 71.54 | — | — | — | — | |
| OCGINCategory=GNN-based Deep Learning Methods2025.05 | 72.89 | — | — | — | — | |
| CVTGADCategory=GNN-based Deep Learning Methods2025.05 | 73.31 | — | — | — | — | |
| GLocalKDCategory=GNN-based Deep Learning Methods2025.05 | 73.92 | — | — | — | — | |
| GLADCCategory=GNN-based Deep Learning Methods2025.05 | 76.61 | — | — | — | — | |
| PK-SVMCategory=Graph Kernel + Detector2025.05 | 92.18 | — | — | — | — | |
| WL-SVMCategory=Graph Kernel + Detector2025.05 | 92.94 | — | — | — | — | |
| WL-iFCategory=Graph Kernel + Detector2025.05 | 93.01 | — | — | — | — | |
| PK-iFCategory=Graph Kernel + Detector2025.05 | 94.1 | — | — | — | — | |
| OCGTLCategory=GNN-based Deep Learning Methods2025.05 | 96.65 | — | — | — | — | |
| CVTGAD2025.05 | — | 90.12 | — | — | — | |
| CVTGAD2025.05 | — | — | — | — | 77.69 | |
| GLADC2025.05 | — | — | — | — | 68.23 | |
| GLocalKD2025.05 | — | — | — | — | 68.55 | |
| LGKDE2025.05 | — | 88.79 | — | — | — | |
| LGKDE2025.05 | — | — | — | — | 81.11 | |
| MUSE2025.05 | — | — | — | — | 78.34 | |
| OCGIN2025.05 | — | — | — | — | 69.13 | |
| OCGTL2025.05 | — | — | — | — | 51.89 | |
| PK-iF2025.05 | — | — | — | — | 59.08 | |
| PK-SVM2025.05 | — | — | — | — | 46.67 | |
| SIGNET2025.05 | — | 91.98 | — | — | — | |
| SIGNET2025.05 | — | — | — | — | 80.79 | |
| UniFORM2025.05 | — | — | — | — | 79.85 | |
| WL-iF2025.05 | — | — | — | — | 51.71 | |
| WL-SVM2025.05 | — | — | — | — | 51.16 |