Anomaly detection is critical across domains, from cybersecurity to fraud prevention. Graphs,
adept at modeling intricate relationships, offer a flexible framework for capturing complex …

Many practical applications generate high-dimensional data, which poses challenges in
terms of computational time and storage. To address this issue, feature extraction has …

Embedding learning in multiplex networks has drawn increasing attention in recent years
and achieved outstanding performance in many downstream tasks. However, most existing …

Purpose The best algorithm that was implemented on this Brazilian dataset was artificial
immune system (AIS) algorithm. But the time and cost of this algorithm are high. Using …

A rapid rise in the number of cars running on roads has increased the need for parking
spaces due to which many difficulties are faced by drivers to find a parking space in car …

Abnormal collusive behavior, widely existing in various fields with concealment and synergy,
is particularly harmful in user-generated online reviews and hard to detect by traditional …

Anomaly detection has been one of the important issues in social network analysis in recent
years due to the crucial role it plays in different applications such as fraud and spammer …