Mining Mobile Network Fraudsters with Augmented Graph Neural Networks

Mining Mobile Network Fraudsters with Augmented Graph Neural Networks

With the rapid evolution of mobile communication networks, the number of subscribers and their communication practices is increasing dramatically worldwide. However, fraudsters are also sniffing out the benefits. Detecting fraudsters from the massive volume of call detail records (CDR) in mobile com...

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Bibliographic Details
Main Authors:	Xinxin Hu, Haotian Chen, Hongchang Chen, Xing Li, Junjie Zhang, Shuxin Liu
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Entropy
Subjects:	mobile network fraud graph neural network reinforcement learning AdaBoost graph imbalance
Online Access:	https://www.mdpi.com/1099-4300/25/1/150

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