The general framework of DSTG consists of two phases: ① The adaptive graph structure learning module is trained to acquire the dynamic spatial graph structure using the extracted features. ② Then, the dual scale temporal graph learning module is proposed to focus on the extraction of discriminative features by both the graph attention network and LSTM network with the recurrent-skips.