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홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

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Node Classification On Amazon Fraud

평가 지표

AUC-ROC

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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Node Classification On Amazon Fraud | SOTA | HyperAI초신경