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A weighted isomorphic graph classification algorithm based on causal feature learning
更新时间:2025-05-26
    • A weighted isomorphic graph classification algorithm based on causal feature learning

    • In the field of Killip grading prediction for myocardial infarction patients, experts have proposed a new weighted isomorphic graph classification algorithm that improves prediction accuracy by learning causal features, providing a new solution for grading prediction of myocardial infarction patients.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 2, Pages: 681-686(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.20230384    

      CLC: TP391.4
    • Received:19 April 2023

      Published:01 February 2025

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  • CHE Xiang-jiu,WU Yu-ning,LIU Quan-le.A weighted isomorphic graph classification algorithm based on causal feature learning[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(02):681-686. DOI: 10.13229/j.cnki.jdxbgxb.20230384.

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