Behavioral graph fraud detection in E-commerce

• Published in: arXiv.org
• Main Authors: Yin, Hang, Zhang, Zitao, Wang, Zhurong, Ozyurt, Yilmazcan, Liang, Weiming, Dong, Wenyu, Zhao, Yang, Shan, Yinan
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 13.10.2022
• Subjects: Algorithms; Clustering; Electronic commerce; Embedding; Feature extraction; Fraud; Fraud prevention; Graph neural networks; Linkages; Similarity

In e-commerce industry, graph neural network methods are the new trends for transaction risk modeling.The power of graph algorithms lie in the capability to catch transaction linking network information, which is very hard to be captured by other algorithms.However, in most existing approaches, tran...