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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 4
975-986

Graph Transformer technology and research progress: from fundamental theory to cutting-edge applications

You Hao
Ding Cangfeng
Ma Lerong
Yan Zhaoyao
Cao Lu
College of Mathematics & Computer Science, Yan'an University, Yan'an Shaanxi 716000, China
DOI: 10.19734/j.issn.1001-3695.2024.08.0291

Abstract

Graph data processing is a method used for analyzing and manipulating graph-structured data, which is widely applied across various domains. The Graph Transformer, as a model framework directly learning from graph-structured data, combines the self-attention mechanism of the Transformer and methods from graph neural networks, making it a novel model. By capturing global dependencies between nodes and accurately encoding the topology of graphs, the Graph Transformer exhi-bits outstanding performance and accuracy in tasks such as node classification, link prediction, and graph generation. With the introduction of the self-attention mechanism, the Graph Transformer effectively captures both local and global information of nodes and edges, significantly enhancing model efficiency and performance. This paper delved into the Graph Transformer model, covering its development background, fundamental principles, and detailed structure, and analyzed it from three perspectives: attention mechanisms, modular architecture, and complex graph processing capabilities(including hypergraphs and dynamic graphs). It comprehensively introduced the current application status and future development trends of the Graph Transformer, discussed existing issues and challenges, and proposed possible improvements and ideas to further advance research and applications in this field.

Foundation Support

国家自然科学基金资助项目(62262067)
陕西省人才资助项目(YAU202213065,CXY202107)
延安大学十四五重大科研资助项目(2021ZCQ012)
延安大学基础项目(YDBK2018-35,D2022034)
延安大学研究生教育创新计划资助项目(YCX2024049)
教学改革研究项目(YDJG23-27)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.08.0291
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 4
Section: Survey
Pages: 975-986
Serial Number: 1001-3695(2025)04-002-0975-12

Publish History

[2025-04-05] Printed Article

Cite This Article

游浩, 丁苍峰, 马乐荣, 等. Graph Transformer技术与研究进展：从基础理论到前沿应用 [J]. 计算机应用研究, 2025, 42 (4): 975-986. (You Hao, Ding Cangfeng, Ma Lerong, et al. Graph Transformer technology and research progress: from fundamental theory to cutting-edge applications [J]. Application Research of Computers, 2025, 42 (4): 975-986. )

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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