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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

モデル名
AUC-ROC
Paper TitleRepository
GTAN97.50Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation-
PC-GNN95.86Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
RLC-GNN97.48RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection-
CARE-GNN89.73Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters-
LEX-GNN97.91LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection
RioGNN96.19Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks-
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Node Classification On Amazon Fraud | SOTA | HyperAI超神経