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Network Representation Learning
- 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