Node-level Anomaly Detection on Questions
0.7392AUROCUniGAD
Evaluation results
| Method | Links | |
|---|---|---|
| UniGADTraining Strategy=Multi-task, Backbone=GCN2024.11 | 0.7392 | |
| GraphSAGETraining Strategy=Single-level2024.11 | 0.7247 | |
| PNATraining Strategy=Single-level2024.11 | 0.7178 | |
| GATTraining Strategy=Single-level2024.11 | 0.7138 | |
| UniGADTraining Strategy=Multi-task, Backbone=BWGNN2024.11 | 0.7097 | |
| SGCTraining Strategy=Single-level2024.11 | 0.7059 | |
| BernNetTraining Strategy=Single-level2024.11 | 0.7028 | |
| BWGNNTraining Strategy=Single-level2024.11 | 0.7025 | |
| GCNTraining Strategy=Single-level2024.11 | 0.7015 | |
| GINTraining Strategy=Single-level2024.11 | 0.6913 | |
| AMNetTraining Strategy=Single-level2024.11 | 0.6863 | |
| All-in-One-UTraining Strategy=Multi-task2024.11 | 0.548 | |
| GraphPrompt-UTraining Strategy=Multi-task2024.11 | 0.5096 |