Network Embedding via Community Based Variational Autoencoder

Network Embedding via Community Based Variational Autoencoder

In recent years, network embedding has attracted more and more attention due to its effectiveness and convenience to compress the network structured data. In this paper, we propose a community-based variational autoencoder (ComVAE) model to learn network embedding, which consists of a community dete...

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Bibliographic Details
Main Authors: Wei Shi, Ling Huang, Chang-Dong Wang, Juan-Hui Li, Yong Tang, Chengzhou Fu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network embedding
community detection
variational autoencoder
Online Access:https://ieeexplore.ieee.org/document/8648335/

Internet

https://ieeexplore.ieee.org/document/8648335/

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