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Network Representation Learning

Authors :
Weizheng Chen
Yan Zhang
Xiaoming Li
Source :
大数据, Vol 1, Pp 1-15 (2015)
Publication Year :
2015
Publisher :
China InfoCom Media Group, 2015.

Abstract

Along with the constant growth of massive online social networks such as Facebook,Twitter,Weixin and Weibo,a tremendous amount of network data sets are generated.How to represent the data is an important aspect when we apply machine learning techniques to analyze network data sets.Firstly,the research background was introduced and the definitions of NRL (network representation learning) were related.According to the categories of different algorithms,five kinds of primary NRL algorithms were introduced.Particularly,a detailed introduction to NRL algorithms based deep learning techniques was given emphatically.Then the evaluation methods and application scenarios of NRL were discussed.Finally,the research prospect of NRL in the future was discussed.

Details

Language :
Chinese
ISSN :
20960271
Volume :
1
Database :
Directory of Open Access Journals
Journal :
大数据
Publication Type :
Academic Journal
Accession number :
edsdoj.8a79382d45da4845ad584af32d4df0b8
Document Type :
article
Full Text :
https://doi.org/10.11959/j.issn.2096-0271.2015025