Algorithm Research & Explore
|
App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2091-2095,2102

Link prediction based on predicate awareness and graph attention mechanism

Ma Li
Yao Weifan
School of Computer Science & Technology, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
DOI: 10.19734/j.issn.1001-3695.2020.08.0223

Abstract

The purpose of knowledge graph completion is to predict the missing parts in the triplet and make the knowledge graph complete. In view of the fact that the link prediction methods based on neural network and other models ignore the association information between entities, resulting in the model can't cover the inherent hidden information in the local neighborhood around the triple. Aiming at this problem, this paper proposed a method combining graph attention mechanism with predicate perception. Firstly, it defined a relational embedding matrix to describe the relationship between entities in the neighborhood of any given entity by using graph attention mechanism. Secondly, it introduced predicate to enhance the semantic understanding between entities, and constructed the attention value calculation formula based on predicate embedding vector to effectively measure the strength of semantic connection between entities. In addition, it used the edge relationship between entity neighbors to predict the direct relationship between multi-hop entities to complete the knowledge graph. Experimental results on WN18RR, Kinship and FB15K datasets show that the proposed method can effectively improve the prediction accuracy of triplets.

Foundation Support

国家自然科学基金资助项目(61373116)
陕西省自然科学基金研究计划资助项目(2016JM6085)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.08.0223
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Algorithm Research & Explore
Pages: 2091-2095,2102
Serial Number: 1001-3695(2021)07-032-2091-05

Publish History

[2021-07-05] Printed Article

Cite This Article

马力, 姚伟凡. 结合谓词感知与图注意力机制的链接预测方法 [J]. 计算机应用研究, 2021, 38 (7): 2091-2095,2102. (Ma Li, Yao Weifan. Link prediction based on predicate awareness and graph attention mechanism [J]. Application Research of Computers, 2021, 38 (7): 2091-2095,2102. )

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)