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Node Classification On Amazon Fraud

Metrics

AUC-ROC

Results

Performance results of various models on this benchmark

		Paper Title	Repository
LEX-GNN	97.91	LEX-GNN: Label-Exploring Graph Neural Network for Accurate Fraud Detection	-
GTAN	97.50	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	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection	-
CARE-GNN	89.73	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

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Node Classification On Amazon Fraud | SOTA | HyperAI