Structural property-aware multilayer network embedding for latent factor analysis

作者：

Highlights：

• Four novel multilayer network embedding algorithms are proposed with the consideration on four network structural properties.

• Four objective functions based on NMF are specially designed and optimized to preserve the target structural properties.

• Extensive experiments are conducted to evaluate the performances of the proposed embedding algorithms on different tasks.

摘要

•Four novel multilayer network embedding algorithms are proposed with the consideration on four network structural properties.•Four objective functions based on NMF are specially designed and optimized to preserve the target structural properties.•Extensive experiments are conducted to evaluate the performances of the proposed embedding algorithms on different tasks.

论文关键词：Multilayer network,Network embedding,Nonnegative matrix factorization

论文评审过程：Received 2 December 2016, Revised 28 September 2017, Accepted 4 November 2017, Available online 7 November 2017, Version of Record 14 November 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.11.004