As the cost of undetected malware increases, organizations - and particularly those in the financial sector - are motivated to identify cyber threats as swiftly as possible. By 2021, the estimated ...

Abstract: Graph-level anomaly detection (GLAD) aims to distinguish anomalous graphs that exhibit significant deviations from others. The graph-graph relationship, revealing the deviation and ...

Graph mining and subgraph analysis encompass a suite of techniques dedicated to unearthing hidden patterns, recurring structures and relationships within complex networks. This field has rapidly ...

Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...

Fujitsu Laboratories and LARUS Business Automation S.r.l. (LARUS) (1) have jointly verified that credit card payment fraud can be detected with high accuracy by integrating Deep Tensor (2), an ...