Fraud Detection On Amazon Fraud

Métriques

AUC-ROC

Averaged Precision

Résultats

Résultats de performance de divers modèles sur ce benchmark

			Paper Title
LEX-GNN	97.91	92.18	LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection
GTAN	97.50	89.26	Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation
RLC-GNN	97.48	-	RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection
RioGNN	96.19	-	Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
PC-GNN	95.86	85.49	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection
CARE-GNN	89.73	82.19	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

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