Graph-level Anomaly Detection on DD
89.31AUPRCLGKDE
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| LGKDE2025.05 | 89.31 | — | — | — | — | |
| GLocalKD2025.05 | 87.45 | — | — | — | — | |
| MUSE2025.05 | 85.23 | — | — | — | — | |
| OCGIN2025.05 | 84.16 | — | — | — | — | |
| UniFORM2025.05 | 83.78 | — | — | — | — | |
| SIGNET2025.05 | 75.43 | — | — | — | — | |
| GLADC2025.05 | 74.14 | — | — | — | — | |
| OCGTL2025.05 | 73.5 | — | — | — | — | |
| CVTGAD2025.05 | 72.87 | — | — | — | — | |
| WL-iF2025.05 | 46.61 | — | — | — | — | |
| PK-SVM2025.05 | 45.94 | — | — | — | — | |
| WL-SVM2025.05 | 41.89 | — | — | — | — | |
| PK-iF2025.05 | 16.29 | — | — | — | — | |
| CVTGADCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 72.43 | — | |
| CVTGAD2025.05 | — | — | — | — | 78.84 | |
| GLADCCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 68.2 | — | |
| GLADC2025.05 | — | — | — | — | 76.54 | |
| GLocalKDCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 69.52 | — | |
| GLocalKD2025.05 | — | — | — | — | 80.76 | |
| LGKDECategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 67.26 | — | |
| LGKDE2025.05 | — | — | — | — | 79.84 | |
| MUSECategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 70.78 | — | |
| MUSE2025.05 | — | — | — | — | 79.23 | |
| OCGINCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 63.19 | — | |
| OCGIN2025.05 | — | — | — | — | 79.08 | |
| OCGTLCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 92.22 | — | |
| OCGTL2025.05 | — | — | — | — | 77.76 | |
| PK-iFCategory=Graph Kernel + Detector2025.05 | — | — | — | 96.92 | — | |
| PK-iF2025.05 | — | — | — | — | 75.29 | |
| PK-SVMCategory=Graph Kernel + Detector2025.05 | — | — | — | 97.58 | — | |
| PK-SVM2025.05 | — | — | — | — | 47.69 | |
| SIGNETCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 75.36 | — | |
| SIGNET2025.05 | — | — | — | — | 74.53 | |
| UniFORMCategory=GNN-based Deep Learning Methods2025.05 | — | — | — | 69.95 | — | |
| UniFORM2025.05 | — | — | — | — | 78.56 | |
| WL-iFCategory=Graph Kernel + Detector2025.05 | — | — | — | 97.74 | — | |
| WL-iF2025.05 | — | — | — | — | 70.49 | |
| WL-SVMCategory=Graph Kernel + Detector2025.05 | — | — | — | 98.98 | — | |
| WL-SVM2025.05 | — | — | — | — | 47.98 |