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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Detalles Bibliográficos
Autores principales: Hu, Xinxin, Chen, Haotian, Chen, Hongchang, Li, Xing, Zhang, Junjie, Liu, Shuxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857549/
https://www.ncbi.nlm.nih.gov/pubmed/36673291
http://dx.doi.org/10.3390/e25010150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857549/
https://www.ncbi.nlm.nih.gov/pubmed/36673291
http://dx.doi.org/10.3390/e25010150

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