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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 7
1946-1951

Network representation learning algorithm incorporated with edge signed semantic information

Wang Kai
Zhao Xuelei
Li Yingle
Liu Zhengming
Li Xing
National Digital Switching System Engineering & Technological R&D Center, Zhengzhou 450002, China
DOI: 10.19734/j.issn.1001-3695.2019.01.0012

Abstract

In order to enhance the network representation learning quality with the edge signed semantic information, focusing on the weakness of existing fusion methods in dealing with complex edge signed semantic information, this paper proposed a network representation learning algorithm incorporating with edge signed semantic information, and introduced the edge signed semantic information containing positive and negative relations into the network representation learning process. Firstly, this paper designed a relationship prediction model based on the three-layer perceptron to depict different types of context link relations between nodes. Then it introduced the random walk strategy to implement context link sampling to adapt the large-scale network scenarios. Experiments on three data sets show that this algorithm can effectively model different types of context links between nodes and mine the complex semantic information contained in them. Compared with the current optimal SIDE method, the performance of the proposed algorithm is improved by 0.31%, 1.3% and 1.85%.

Foundation Support

国家自然科学基金青年科学基金资助项目(61803384)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.01.0012
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 7
Section: Algorithm Research & Explore
Pages: 1946-1951
Serial Number: 1001-3695(2020)07-006-1946-06

Publish History

[2020-07-05] Printed Article

Cite This Article

王凯, 赵学磊, 李英乐, 等. 融合连边符号语义信息的网络表示学习算法 [J]. 计算机应用研究, 2020, 37 (7): 1946-1951. (Wang Kai, Zhao Xuelei, Li Yingle, et al. Network representation learning algorithm incorporated with edge signed semantic information [J]. Application Research of Computers, 2020, 37 (7): 1946-1951. )

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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