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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Learning-driven extended variable neighborhood search for signed graph partitioning

Tao Zijun
Lu Zhi
Meng Bingjin
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2024.07.0309

Abstract

Given an undirected signed graph, the Signed Graph Partitioning Problem (SGPP) divides the set of nodes into K(K≥2) pairwise disjoint nonempty subsets to minimize the number of positive edges between the subsets and the number of negative edges within the subsets. The SGPP is an NP-hard problem with significant applications in real-world fields such as computer vision, social network analysis, bioinformatics, etc. However, the SGPP has become more challenging to address in the big data era. This paper proposes a Learning Driven Extended Variable Neighborhood Search (LDEVNS) to tackle the SGPP. Specifically, we design a new fast incremental update strategy and an efficient extended variable neighborhood search. To explore the search space more efficiently, we combine a reinforcement learning mechanism to guide the search direction. The experiment utilizes 15 large-scale social networks to assess the performance of the LDEVNS algorithm. Experimental results show that the LDEVNS outperforms the best-performing algorithms in terms of solution quality and computing time. Additionally, we verify the effectiveness of the reinforcement learning mechanism in the LDEVNS.

Foundation Support

国家自然科学基金资助青年项目(72101149)
上海市浦江人才计划项目(22PJC080)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0309
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-16] Accepted Paper

Cite This Article

陶子君, 陆芷, 蒙炳金. 大规模符号网络划分的学习驱动型扩展变邻域搜索算法 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0309. (Tao Zijun, Lu Zhi, Meng Bingjin. Learning-driven extended variable neighborhood search for signed graph partitioning [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0309. )

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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