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Software Technology Research
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
3076-3081,3106

GAT based heterogeneous graph neural network for social recommendation

Wu Xiangshuai
Sun Fuzhen
Zhang Wenlong
Zhang Zhiwei
Wang Shaoqing
School of Computer Science & Technology, Shandong University of Technology, Zibo Shandong 255049, China
DOI: 10.19734/j.issn.1001-3695.2023.03.0085

Abstract

Aiming at the problem that the existing social recommendation algorithms ignore the potential association of users and the collaborative relationship between items, this paper proposed a new algorithm model GATHGN. This model framework unified modeled of user association and item relationship. Firstly, users' mined explicit social relations, potential association relations and user-item association relations, so as to extract users' social high-order characteristics and potential interest high-order characteristics. Then, the above two high-level features were aggregated based on the graph attention mechanism, and the user fusion features were updated layer by layer. Finally, the final recommendation results were calculated according to the updated user fusion characteristics and project characteristics. Experimental results on Yelp and Flickr data show that the HR and NDCG of GATHGN are significantly improved compared with the baseline algorithm.

Foundation Support

国家自然科学基金资助项目(61841602)
山东省自然科学基金资助项目(ZR2020MF147)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.03.0085
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Software Technology Research
Pages: 3076-3081,3106
Serial Number: 1001-3695(2023)10-030-3076-06

Publish History

[2023-05-10] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

吴相帅, 孙福振, 张文龙, 等. 基于图注意力的异构图社交推荐网络 [J]. 计算机应用研究, 2023, 40 (10): 3076-3081,3106. (Wu Xiangshuai, Sun Fuzhen, Zhang Wenlong, et al. GAT based heterogeneous graph neural network for social recommendation [J]. Application Research of Computers, 2023, 40 (10): 3076-3081,3106. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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