2019
Scalable Deep Generative Relational Model with High-Order Node Dependence
NeurIPS 2019poster
In this work, we propose a probabilistic framework for relational data modelling and latent structure exploring. Given the possible feature information for the nodes in a network, our model builds up a deep architecture that can approximate to the possible nonlinear mappings between the nodes' featu…