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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 9

Social group discovery based on temporal graph neural networks

Li Ze
Zhao Weichao
Xu Huiwen
Changchun Institute of Optics, Fine Mechanics & Physics, Chinese Academy of Sciences, Changchun 130033, China
DOI: 10.19734/j.issn.1001-3695.2024.12.0534

Abstract

In social event analysis, identifying relevant social groups plays a crucial role in event governance. To address the limitations of existing group discovery approaches that neglect group influence on individual node characteristics and temporal dynamics, this study proposed a Group Graph Convolutional Network (G-GCN) . The model enhances node representation by incorporating group features during individual node embedding. Recognizing the significance of temporal evolution in group discovery, we further developed a Temporal-Group Graph Convolutional Network (TG-GCN) based on G-GCN. This extended model captures temporal variations through learning node representation changes over time, achieving cross-temporal information aggregation and converting sequential interactions into evolutionary group representations. Experiments on Yelp and Amazon datasets demonstrated 0.1 accuracy improvement in group identification, confirming TG-GCN's effectiveness. The research provides new perspectives for event governance by emphasizing the importance of temporal-aware node representations, offering valuable insights for dynamic social event analysis and prediction.

Foundation Support

中国科学院战略性先导科技专项(XDB0500103)
国家基础学科公共科学数据中心项目(NBSDC-DB-02)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.12.0534
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 9

Publish History

[2025-05-13] Accepted Paper

Cite This Article

李泽, 赵伟超, 徐慧雯. 基于时序图神经网络的社会团体发现 [J]. 计算机应用研究, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0534. (Li Ze, Zhao Weichao, Xu Huiwen. Social group discovery based on temporal graph neural networks [J]. Application Research of Computers, 2025, 42 (9). (2025-05-27). https://doi.org/10.19734/j.issn.1001-3695.2024.12.0534. )

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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