Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2352-2356,2380

Graph attention network based participant recommendation for issue resolution in open source community

Zhao Haiyan1,2,3
Xia Wenzong1,2,3
Cao Jian4
Chen Qingkui1,2,3
1. Shanghai Key Laboratory of Modern Optical System, Shanghai 200093, China
2. Engineering Research Center of Optical Instrument & System, Ministry of Education, Shanghai 200093, China
3. School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China
4. Dept. of Computer Science & Technology, Shanghai Jiao Tong University, Shanghai 200030, China
DOI: 10.19734/j.issn.1001-3695.2022.01.0028

Abstract

In the open source community, it's essential to find and recommend suitable participants for newly initiated issues in order to solved the issues and develop the community. This paper proposed to construct a two-layer graph attention network participant recommendation model(GAT-UCG) based on the cooperative relationship records and the historical participated issues records of the developers. The method used to construct the model is obtaining the information of the problem participants and the interaction information of the developers, and built the developer problem participation graph and the developer collaboration relationship graph respectively, then redistributed the weights to the edges through the attention mechanism. Finally, it figured the top-N recommendation of the problem participants according to the issue node embedding representation obtained by the output layer. There were 7 352 issues from popular GitHub repositories for experiments. The results show that the GAT-UCG model outperforms the baseline method in three indicators: recommendation accuracy, recall, and F-score.

Foundation Support

国家重点研发计划资助项目(2018YFB1003802)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.01.0028
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2352-2356,2380
Serial Number: 1001-3695(2022)08-019-2352-05

Publish History

[2022-03-30] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

赵海燕, 夏文宗, 曹健, 等. 基于图注意力网络的开源社区问题解决参与者推荐 [J]. 计算机应用研究, 2022, 39 (8): 2352-2356,2380. (Zhao Haiyan, Xia Wenzong, Cao Jian, et al. Graph attention network based participant recommendation for issue resolution in open source community [J]. Application Research of Computers, 2022, 39 (8): 2352-2356,2380. )

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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