An adversarial variational graph autoencoder with contrastive learning for robust anomaly detection in large scale attributed networks

Abstract Anomaly detection in attributed networks is challenging because it combines complex structural relationships with high-dimensional node attributes. Traditional methods rarely solve both problems simultaneously, making them less effective. We present a new approach for anomaly detection that...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Wasim Khan, Nadhem Ebrahim, Mohammad Ishrat, Hasan Alkahtani, Theyazn H. H. Aldhyani
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	SpringerOpen 2025-12-01
Цуврал:	Journal of Big Data
Нөхцлүүд:	Adversarial training Anomaly detection Attributed networks Contrastive learning Deep learning Variational graph autoencoder
Онлайн хандалт:	https://doi.org/10.1186/s40537-025-01342-z
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!