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Graph node classification algorithm based on similarity random walk aggregation
更新时间：2025-08-04

    • Graph node classification algorithm based on similarity random walk aggregation

    • “In the field of heterogeneous graph node classification, SRW-GNN effectively improves accuracy through similarity random walk aggregation, providing a new solution to address the impact of heterogeneity.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 6, Pages: 2069-2075(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.jdxbgxb20231043    

      CLC： TP391.4

    • Received：01 October 2023，

      Published：01 June 2025

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  • CHE Xiang-jiu,SUN Yu-peng.Graph node classification algorithm based on similarity random walk aggregation[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(06):2069-2075. DOI： 10.13229/j.cnki.jdxbgxb20231043.

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