GMNN: Graph Markov Neural Networks

15 May 2019Meng QuYoshua BengioJian Tang

This paper studies semi-supervised object classification in relational data, which is a fundamental problem in relational data modeling. The problem has been extensively studied in the literature of both statistical relational learning (e.g. relational Markov networks) and graph neural networks (e.g. graph convolutional networks)... (read more)

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