GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning

GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning

E-commerce platforms face significant challenges in detecting anomalous products, including counterfeit goods and fraudulent listings, which can undermine user trust and platform integrity. This paper presents Graph Neural Network-based E-commerce Anomaly Detection via Dual-stage Learning (GNN-EADD)...

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Bibliographic Details
Main Authors: Zhouhang Shao, Xuran Wang, Enkai Ji, Shiyang Chen, Jin Wang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Graph neural networks
e-commerce
anomaly detection
heterogeneous graphs
graph attention networks
Online Access:https://ieeexplore.ieee.org/document/10829566/
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https://ieeexplore.ieee.org/document/10829566/

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