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Node Classification On Amazon Fraud

Métriques

AUC-ROC

Résultats

Résultats de performance de divers modèles sur ce benchmark

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

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