Adversarial learning for multi-view network embedding on incomplete graphs

作者：

Highlights：

• We investigate the novel problem of network embedding on incomplete graphs.

• We propose an adversarial learning based network embedding model MVANE.

• The experimental results demonstrate the superiority of the proposed model.

摘要

•We investigate the novel problem of network embedding on incomplete graphs.•We propose an adversarial learning based network embedding model MVANE.•The experimental results demonstrate the superiority of the proposed model.

论文关键词：Adversarial learning,Network embedding,Multi-view learning,Deep learning

论文评审过程：Received 17 December 2018, Revised 12 May 2019, Accepted 13 May 2019, Available online 16 May 2019, Version of Record 12 June 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.05.021