Edge Anomaly Detection on Weibo
99.13AUROCUniGAD
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| UniGADTraining Strategy=Multi-task, Backbone=GCN2024.11 | 99.13 | — | |
| PNAETraining Strategy=Single-level2024.11 | 99.1 | — | |
| UniGADTraining Strategy=Multi-task, Backbone=BWGNN2024.11 | 99.1 | — | |
| GCNETraining Strategy=Single-level2024.11 | 99.03 | — | |
| BWETraining Strategy=Single-level2024.11 | 98.93 | — | |
| GSAGEETraining Strategy=Single-level2024.11 | 98.67 | — | |
| SGCETraining Strategy=Single-level2024.11 | 98.55 | — | |
| GINETraining Strategy=Single-level2024.11 | 98.09 | — | |
| GATETraining Strategy=Single-level2024.11 | 97.92 | — | |
| BernETraining Strategy=Single-level2024.11 | 97.87 | — | |
| AMETraining Strategy=Single-level2024.11 | 97.08 | — | |
| GraphPrompt-UTraining Strategy=Multi-task2024.11 | 51.35 | — | |
| All-in-One-UTraining Strategy=Multi-task2024.11 | 51.24 | — | |
| GCNEBackbone=GCN, Method Category=Edge-level2024.11 | — | 94.56 | |
| UniGAD-BWGBackbone=BWGNN, Method Category=UniGAD2024.11 | — | 93.66 | |
| UniGAD-GCNBackbone=GCN, Method Category=UniGAD2024.11 | — | 95.65 |