Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1360-1364

Social network sign prediction based on multi-head attention mechanism

Yan Shixiong1
Zhu Yan1
Li Chunping2
1. School of Information Science & Technology, Southwest Jiaotong University, Chengdu 611756, China
2. School of Software, Tsinghua University, Beijing 100091, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0180

Abstract

Traditional sign prediction methods lack the ability to process the information of second-order neighbor, which are difficult to extract the users' low-dimensional features effectively. In order to effectively integrate the users' neighbor information, this paper proposed a signed network representation learning method(SMGAT) to improve the effect of social network sign prediction, which used multi-head attention mechanism to learn the first-order and second-order neighbor information. Firstly the method integrated the social balance theory and status theory and sampled the first-order neighbor and second-order neighbor. Then, it used the multi-head attention mechanism to integrate the neighbors' sign and structure information, learnt the low-dimensional features of nodes. Finally it realized the sign prediction through the logistic regression classifier. Through the experiments on four real signed networks, the results show SMGAT method can effectively mine the sign and structure information of neighbors, improve the performance of the social network link sign prediction.

Foundation Support

四川省科技计划项目(2019YFSY0032)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0180
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Algorithm Research & Explore
Pages: 1360-1364
Serial Number: 1001-3695(2021)05-014-1360-05

Publish History

[2021-05-05] Printed Article

Cite This Article

颜仕雄, 朱焱, 李春平. 基于多头注意力机制的社交网络符号预测 [J]. 计算机应用研究, 2021, 38 (5): 1360-1364. (Yan Shixiong, Zhu Yan, Li Chunping. Social network sign prediction based on multi-head attention mechanism [J]. Application Research of Computers, 2021, 38 (5): 1360-1364. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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