Estimating the structure of directed acyclic graphs (DAGs) features (variables) plays a vital role in revealing latent data generation process and providing causal insights various applications. Although there have been many studies on learning with types data, dynamic graph has not explored yet, thus we study problem node feature mechanism such ubiquitous data. In graph, propose to simultaneou...