Matrix factorization based Bayesian network embedding for efficient probabilistic inferences

作者：

Highlights：

• Propose a graph embedding method for Bayesian network based on matrix factorization.

• Propose an approximate inference method for multiple probabilistic inferences on BN.

• Conduct intensive experiments and show the efficiency and effectiveness of our proposed methods.

摘要

•Propose a graph embedding method for Bayesian network based on matrix factorization.•Propose an approximate inference method for multiple probabilistic inferences on BN.•Conduct intensive experiments and show the efficiency and effectiveness of our proposed methods.

论文关键词：Bayesian network,Graph embedding,Probabilistic inference,Matrix factorization,Singular value decomposition

论文评审过程：Received 10 August 2020, Revised 3 November 2020, Accepted 8 November 2020, Available online 16 November 2020, Version of Record 6 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114294