Scalable Deep Generative Relational Models with High-Order Node Dependence

4 Nov 2019Xuhui FanBin LiScott Anthony SissonCaoyuan LiLing Chen

We propose a probabilistic framework for modelling and exploring the latent structure of relational data. Given feature information for the nodes in a network, the scalable deep generative relational model (SDREM) builds a deep network architecture that can approximate potential nonlinear mappings between nodes' feature information and the nodes' latent representations... (read more)

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