Jingchao Ni

Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs

2021

Detecting anomalies in dynamic graphs is a vital task, with numerous practical applications in areas such as security, finance, and social media. Existing network embedding based methods have mostly focused on learning good node representations, …