Graph level anomaly detection (GLAD) aims to spot anomalous graphs that structure pattern and feature information are different from most normal graphs in a graph set, which is rarely studied by other ...

Graph neural networks are reshaping how enterprises hunt for fraud, moving detection beyond isolated transactions to reveal entire hidden networks of bad actors. As AI adoption accelerates, ...

A new framework pairs momentum contrastive learning with the GATv2 graph attention network to detect rare, legally entangled ...

Bitcoin was designed to move money without banks, borders, or names attached to the transactions. That same design, however, ...