Graph Structure Learning with Interpretable Bayesian Neural Networks

Max Wasserman, Gonzalo Mateos

Graphs serve as generic tools to encode the underlying relational structure of data. Often this graph is not given, and so the task of inferring it from nodal observations becomes…