Graph-level Anomaly Detection on AIDS
1.4FPR95OCGTL
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| OCGTLCategory=GNN-based Deep Learning Methods2025.05 | 1.4 | — | — | — | — | |
| CVTGADCategory=GNN-based Deep Learning Methods2025.05 | 4.22 | — | — | — | — | |
| LGKDECategory=GNN-based Deep Learning Methods2025.05 | 6.19 | — | — | — | — | |
| GLADCCategory=GNN-based Deep Learning Methods2025.05 | 6.79 | — | — | — | — | |
| OCGINCategory=GNN-based Deep Learning Methods2025.05 | 13.57 | — | — | — | — | |
| GLocalKDCategory=GNN-based Deep Learning Methods2025.05 | 14.3 | — | — | — | — | |
| SIGNETCategory=GNN-based Deep Learning Methods2025.05 | 24.98 | — | — | — | — | |
| MUSECategory=GNN-based Deep Learning Methods2025.05 | 27.34 | — | — | — | — | |
| UniFORMCategory=GNN-based Deep Learning Methods2025.05 | 28.45 | — | — | — | — | |
| PK-iFCategory=Graph Kernel + Detector2025.05 | 58.22 | — | — | — | — | |
| WL-iFCategory=Graph Kernel + Detector2025.05 | 58.75 | — | — | — | — | |
| PK-SVMCategory=Graph Kernel + Detector2025.05 | 98.4 | — | — | — | — | |
| WL-SVMCategory=Graph Kernel + Detector2025.05 | 99.78 | — | — | — | — | |
| CVTGAD2025.05 | — | 96.35 | — | — | — | |
| CVTGAD2025.05 | — | — | — | — | 99.21 | |
| GLADC2025.05 | — | — | — | — | 98.02 | |
| GLocalKD2025.05 | — | 95.28 | — | — | — | |
| GLocalKD2025.05 | — | — | — | — | 96.93 | |
| LGKDE2025.05 | — | — | — | — | 99.06 | |
| MUSE2025.05 | — | — | — | — | 98.95 | |
| OCGIN2025.05 | — | — | — | — | 96.89 | |
| OCGTL2025.05 | — | 97.89 | — | — | — | |
| OCGTL2025.05 | — | — | — | — | 99.36 | |
| PK-iF2025.05 | — | — | — | — | 52.01 | |
| PK-SVM2025.05 | — | — | — | — | 50.93 | |
| SIGNET2025.05 | — | — | — | — | 97.6 | |
| UniFORM2025.05 | — | — | — | — | 98.52 | |
| WL-iF2025.05 | — | — | — | — | 61.42 | |
| WL-SVM2025.05 | — | — | — | — | 52.56 |