Node Anomaly Detection on Amazon
97.84AUROCUniGAD
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| UniGADTraining Strategy=Multi-task, Backbone=BWGNN2024.11 | 97.84 | — | — | |
| BWGNNTraining Strategy=Single-level2024.11 | 97.8 | — | — | |
| AMNetTraining Strategy=Single-level2024.11 | 97.31 | — | — | |
| BernNetTraining Strategy=Single-level2024.11 | 96.62 | — | — | |
| GATTraining Strategy=Single-level2024.11 | 96.24 | — | — | |
| GINTraining Strategy=Single-level2024.11 | 92.17 | — | — | |
| GraphSAGETraining Strategy=Single-level2024.11 | 84.53 | — | — | |
| UniGADTraining Strategy=Multi-task, Backbone=GCN2024.11 | 82.92 | — | — | |
| GCNTraining Strategy=Single-level2024.11 | 82.37 | — | — | |
| PNATraining Strategy=Single-level2024.11 | 81.41 | — | — | |
| SGCTraining Strategy=Single-level2024.11 | 80.24 | — | — | |
| GraphPrompt-UTraining Strategy=Multi-task2024.11 | 54.1 | — | — | |
| All-in-One-UTraining Strategy=Multi-task2024.11 | 49.66 | — | — | |
| All-in-One-UMethod Category=Multi-task2024.11 | — | — | 48.67 | |
| AMNetMethod Category=Node-level2024.11 | — | — | 89.67 | |
| BernNetMethod Category=Node-level2024.11 | — | — | 89.16 | |
| BWGNNMethod Category=Node-level2024.11 | — | — | 90.49 | |
| GATMethod Category=Node-level2024.11 | — | — | 87.96 | |
| GCNBackbone=GCN, Method Category=Node-level2024.11 | — | 36.21 | — | |
| GCNMethod Category=Node-level2024.11 | — | — | 62.45 | |
| GINMethod Category=Node-level2024.11 | — | — | 72.21 | |
| GraphPrompt-UMethod Category=Multi-task2024.11 | — | — | 40.93 | |
| GraphSAGEMethod Category=Node-level2024.11 | — | — | 64.05 | |
| PNAMethod Category=Node-level2024.11 | — | — | 61.84 | |
| SGCMethod Category=Node-level2024.11 | — | — | 57.43 | |
| UniGADBackbone=GCN2024.11 | — | — | 69.39 | |
| UniGADBackbone=BWG2024.11 | — | — | 91.33 | |
| UniGAD-BWGBackbone=BWGNN, Method Category=UniGAD2024.11 | — | 87.28 | — | |
| UniGAD-GCNBackbone=GCN, Method Category=UniGAD2024.11 | — | 38.06 | — |