2019
D-VAE: A Variational Autoencoder for Directed Acyclic Graphs
NeurIPS 2019poster
Graph structured data are abundant in the real world. Among different graph types, directed acyclic graphs (DAGs) are of particular interest to machine learning researchers, as many machine learning models are realized as computations on DAGs, including neural networks and Bayesian networks. In this…