An Unsupervised Anomaly Detection Model for Weighted Heterogeneous Graph

Nowadays, whereas the use of social networks and computer networks is increasing, the amount of associated complex data with graph structure and their applications, such as classification, clustering, link prediction, and recommender systems, has risen significantly. Because of security problems and...

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מידע ביבליוגרפי

Principais autores:	Maryam Khazaei, Nosratali Ashrafi-Payaman
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Shahrood University of Technology 2023-04-01
סדרה:	Journal of Artificial Intelligence and Data Mining
נושאים:	graph mining graph-based anomaly detection graph embedding heterogeneous graph graph neural network
גישה מקוונת:	https://jad.shahroodut.ac.ir/article_2778_ead5b81e8205f9ce425ad2eeef834ea1.pdf
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