Algorithm Research & Explore
|
2723-2730

Link prediction method based on local topological structure

Zhao Siyun
Huang Zengfeng
School of Data Science, Fudan University, Shanghai 200433, China

Abstract

Link prediction is a task of predicting unobserved edges between nodes or edges that may be connected in the future based on partial graph data. The current state-of-art method of link prediction is to extract the surrounding low-hop subgraphs for all target node pairs and perform graph classification algorithm on the subgraphs to predict the focal link. However, its stability and performance are limited by the diversity of local topological structures. This paper proposed a method to improve the above algorithm. The algorithm calculated the priority value of the surrounding nodes according to their topological feature, selected the most important nodes among the surrounding nodes and a certain number of random nodes to form a closing subgraph together, then extracted feature from the closing subgraph to predict the link. Experiments show that the algorithm ensures the accuracy and stability of intelligently extracting subgraphs on graph data of different structures, and significantly improves the accuracy of link prediction.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0117
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 9
Section: Algorithm Research & Explore
Pages: 2723-2730
Serial Number: 1001-3695(2022)09-025-2723-08

Publish History

[2022-05-20] Accepted Paper
[2022-09-05] Printed Article

Cite This Article

赵思云, 黄增峰. 基于局部图结构的链接预测模型 [J]. 计算机应用研究, 2022, 39 (9): 2723-2730. (Zhao Siyun, Huang Zengfeng. Link prediction method based on local topological structure [J]. Application Research of Computers, 2022, 39 (9): 2723-2730. )

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.

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