Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks

Many types of real-world information systems, including social media and e-commerce platforms, can be modelled by means of attribute-rich, connected networks. The goal of anomaly detection in artificial intelligence is to identify illustrations that deviate significantly from the main distribution o...

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Bibliographic Details

Published in:	Data science and management Vol. 7; no. 2; pp. 89 - 98
Main Authors:	Khan, Wasim, Abidin, Shafiqul, Arif, Mohammad, Ishrat, Mohammad, Haleem, Mohd, Shaikh, Anwar Ahamed, Farooqui, Nafees Akhtar, Faisal, Syed Mohd
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2024 KeAi Communications Co. Ltd
Subjects:	Anomaly detection deep learning Attributed networks autoencoder Dual variational-autoencoder Generative adversarial networks Attributed networks autoencoder Generative adversarial networks Dual variational-autoencoder Anomaly detection deep learning
ISSN:	2666-7649, 2666-7649
Online Access:	Get full text
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