Node Classification On Amazon Fraud
評価指標
AUC-ROC
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
| モデル名 | AUC-ROC |
|---|---|
| semi-supervised-credit-card-fraud-detection-1 | 97.50 |
| pick-and-choose-a-gnn-based-imbalanced | 95.86 |
| rlc-gnn-an-improved-deep-architecture-for | 97.48 |
| enhancing-graph-neural-network-based-fraud | 89.73 |
| lex-gnn-label-exploring-graph-neural-network | 97.91 |
| reinforced-neighborhood-selection-guided | 96.19 |