Node-level Anomaly Detection on T-Finance
0.9649AUROCUniGAD
Evaluation Results
| Method | Links | |
|---|---|---|
| UniGADTraining Strategy=Multi-task, Backbone=BWGNN2024.11 | 0.9649 | |
| BWGNNTraining Strategy=Single-level2024.11 | 0.9603 | |
| UniGADTraining Strategy=Multi-task, Backbone=GCN2024.11 | 0.9568 | |
| AMNetTraining Strategy=Single-level2024.11 | 0.9358 | |
| BernNetTraining Strategy=Single-level2024.11 | 0.9237 | |
| GCNTraining Strategy=Single-level2024.11 | 0.907 | |
| GATTraining Strategy=Single-level2024.11 | 0.906 | |
| GINTraining Strategy=Single-level2024.11 | 0.8643 | |
| GraphSAGETraining Strategy=Single-level2024.11 | 0.7816 | |
| SGCTraining Strategy=Single-level2024.11 | 0.7421 | |
| PNATraining Strategy=Single-level2024.11 | 0.6817 | |
| GraphPrompt-UTraining Strategy=Multi-task2024.11 | 0.5001 |