Before revision:  In this paper, we propose   , an end-to-end structural temporal Graph Neural Network model for detecting anomalous edges in dynamic graphs.
After revision:  In this paper, we propose  StrGNN , an end-to-end structural temporal Graph Neural Network model for detecting anomalous edges in dynamic graphs.