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Dynamic graph convolutional neural network for image sentiment distribution prediction
更新时间：2025-05-26

    • Dynamic graph convolutional neural network for image sentiment distribution prediction

    • “According to a report by a technology media reporter, experts have proposed an emotional semantic dynamic graph convolutional network model to address the challenge of learning emotional distribution in images. This model effectively mines emotional semantic content representations and constructs emotional prediction distributions.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 9, Pages: 2601-2610(2023)
    • 作者机构：

      1.天津大学 电气自动化与信息工程学院， 天津 300072

      2.天津大学 国际工程师学院， 天津 300072

    • DOI：10.13229/j.cnki.jdxbgxb.20211169    

      CLC： TP391

    • Received：08 November 2021，

      Published：01 September 2023

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  • SU Yu-ting,WANG Ji,ZHAO Wei,et al.Dynamic graph convolutional neural network for image sentiment distribution prediction[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(09):2601-2610. DOI： 10.13229/j.cnki.jdxbgxb.20211169.

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