Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
3125-3130

Graph kernel based link prediction in heterogeneous information network

Zhao Yan1,2,3
Zhao Shuliang1,2,3
Ma Qiuwei1,2,3
1. College of Computer & Cyber Security, Hebei Normal University, Shijiazhuang 050024, China
2. Hebei Provincial Engineering Research Center for Supply Chain Big Data Analytics & Data Security, Shijiazhuang 050024, China
3. Hebei Provincial Key Laboratory of Network & Information Security, Shijiazhuang 050024, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0056

Abstract

Link prediction is the main research problem of graph mining, which focuses on extracting feature information from the graph. Most of the existing research methods only focus on the network topology and ignore the node attribute information. To address this problem, this paper proposed the graph kernel-based link prediction method(NGLP). Firstly, it mined the valid and usable meta-paths. Secondly, it generated subgraphs with node attributes for the predicted objects based on meta-paths, and used the subgraphs to represent the links being predicted. Then, it used the graph kernel method to calculate the similarity between subgraphs. Finally, it trained the SVM to produce link predictions. Experimental results show that the proposed method has higher accuracy and more excellent stability compared to other methods.

Foundation Support

国家社会科学基金重大项目(13&ZD091,18ZDA200)
河北省重点研发计划资助项目(20370301D)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0056
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Technology of Network & Communication
Pages: 3125-3130
Serial Number: 1001-3695(2021)10-043-3125-06

Publish History

[2021-10-05] Printed Article

Cite This Article

赵妍, 赵书良, 马秋微. 基于图核的异质信息网络链路预测方法 [J]. 计算机应用研究, 2021, 38 (10): 3125-3130. (Zhao Yan, Zhao Shuliang, Ma Qiuwei. Graph kernel based link prediction in heterogeneous information network [J]. Application Research of Computers, 2021, 38 (10): 3125-3130. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)