Graph-level Anomaly Detection on REDDIT-B
43.12FPR95LGKDE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LGKDECategory=GNN-based Deep Learning Methods2025.05 | 43.12 | — | — | — | — | |
| CVTGADCategory=GNN-based Deep Learning Methods2025.05 | 45.87 | — | — | — | — | |
| GLocalKDCategory=GNN-based Deep Learning Methods2025.05 | 46.59 | — | — | — | — | |
| OCGTLCategory=GNN-based Deep Learning Methods2025.05 | 50.38 | — | — | — | — | |
| GLADCCategory=GNN-based Deep Learning Methods2025.05 | 50.92 | — | — | — | — | |
| SIGNETCategory=GNN-based Deep Learning Methods2025.05 | 52.11 | — | — | — | — | |
| OCGINCategory=GNN-based Deep Learning Methods2025.05 | 53.55 | — | — | — | — | |
| MUSECategory=GNN-based Deep Learning Methods2025.05 | 58.34 | — | — | — | — | |
| UniFORMCategory=GNN-based Deep Learning Methods2025.05 | 62.78 | — | — | — | — | |
| PK-iFCategory=Graph Kernel + Detector2025.05 | 81.97 | — | — | — | — | |
| WL-iFCategory=Graph Kernel + Detector2025.05 | 82.9 | — | — | — | — | |
| WL-SVMCategory=Graph Kernel + Detector2025.05 | 98 | — | — | — | — | |
| PK-SVMCategory=Graph Kernel + Detector2025.05 | 99.36 | — | — | — | — | |
| CVTGAD2025.05 | — | 88.23 | — | — | — | |
| CVTGAD2025.05 | — | — | — | — | 87.43 | |
| GLADC2025.05 | — | — | — | — | 78.87 | |
| GLocalKD2025.05 | — | — | — | — | 80.32 | |
| LGKDE2025.05 | — | 88.59 | — | — | — | |
| LGKDE2025.05 | — | — | — | — | 88.12 | |
| MUSE2025.05 | — | — | — | — | 85.32 | |
| OCGIN2025.05 | — | — | — | — | 82.1 | |
| OCGTL2025.05 | — | 88.37 | — | — | — | |
| OCGTL2025.05 | — | — | — | — | 88.03 | |
| PK-iF2025.05 | — | — | — | — | 46.19 | |
| PK-SVM2025.05 | — | — | — | — | 48.36 | |
| SIGNET2025.05 | — | 85.46 | — | — | — | |
| SIGNET2025.05 | — | — | — | — | 85.24 | |
| UniFORM2025.05 | — | — | — | — | 84.67 | |
| WL-iF2025.05 | — | — | — | — | 49.84 | |
| WL-SVM2025.05 | — | — | — | — | 49.5 |