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Graph similarity measurement algorithm combining global and local fine-grained features
更新时间：2025-09-12

    • Graph similarity measurement algorithm combining global and local fine-grained features

    • “In the field of graph similarity calculation, researchers have proposed a pooling based graph neural network method that effectively integrates global and local features, improving accuracy and computational efficiency.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 7, Pages: 2365-2371(2025)
    • 作者机构：

      吉林大学 计算机科学与技术学院，长春130012

    • DOI：10.13229/j.cnki.jdxbgxb.20231143    

      CLC： TP391.4

    • Received：23 October 2023，

      Published：01 July 2025

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  • CHE Xiang-jiu,LI Liang.Graph similarity measurement algorithm combining global and local fine-grained features[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(07):2365-2371. DOI： 10.13229/j.cnki.jdxbgxb.20231143.

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