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 ...

Abstract: Anomalous measurements bring huge challenges for existing learning-based distribution system optimization methods. Although several graphical learning-based methods have been developed to ...