E-commerce platforms face significant challenges in detecting anomalous products. including copyright 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). https://www.hacklinkci.com/
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