Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, research on correlation mining from graph ...

In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global context.