Graph-level Anomaly Detection on NCI1 (FPR95)
61.25FPR@95OCGTL
Evaluation results
| Method | Links | |
|---|---|---|
| OCGTLCategory=GNN-based Deep Learning Methods2025.05 | 61.25 | |
| LGKDECategory=GNN-based Deep Learning Methods2025.05 | 71.84 | |
| MUSECategory=GNN-based Deep Learning Methods2025.05 | 77.23 | |
| PK-SVMCategory=Graph Kernel + Detector2025.05 | 78.07 | |
| WL-SVMCategory=Graph Kernel + Detector2025.05 | 78.51 | |
| UniFORMCategory=GNN-based Deep Learning Methods2025.05 | 80.67 | |
| SIGNETCategory=GNN-based Deep Learning Methods2025.05 | 80.98 | |
| CVTGADCategory=GNN-based Deep Learning Methods2025.05 | 85.12 | |
| PK-iFCategory=Graph Kernel + Detector2025.05 | 96.41 | |
| WL-iFCategory=Graph Kernel + Detector2025.05 | 96.69 | |
| GLADCCategory=GNN-based Deep Learning Methods2025.05 | 96.81 | |
| GLocalKDCategory=GNN-based Deep Learning Methods2025.05 | 98.09 | |
| OCGINCategory=GNN-based Deep Learning Methods2025.05 | 98.63 |