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A multi-label image classification method via graph attention network with dynamic and static label correlations.

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Title: A multi-label image classification method via graph attention network with dynamic and static label correlations.
Authors: Li, Zhiming1,2,3,4, Zhou, Kai1,3, Chen, Bingnan1,3, Lv, Yuchen1,3, He, Yihao1,3, heyihaocomcn@163.com, You, Dianlong1,3,4
Source: International Journal of Machine Learning & Cybernetics; Feb2026, Vol. 17 Issue 2, p1-15, 15p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191206745
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A multi-label image classification method via graph attention network with dynamic and static label correlations.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Machine+Learning+%26+Cybernetics%22">International Journal of Machine Learning & Cybernetics</searchLink>; Feb2026, Vol. 17 Issue 2, p1-15, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191206745
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s13042-025-02821-8
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 1
    Titles:
      – TitleFull: A multi-label image classification method via graph attention network with dynamic and static label correlations.
        Type: main
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            NameFull: Li, Zhiming
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            NameFull: Zhou, Kai
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            NameFull: Chen, Bingnan
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            NameFull: Lv, Yuchen
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            NameFull: He, Yihao
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            NameFull: You, Dianlong
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            – D: 01
              M: 02
              Text: Feb2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 18688071
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              Value: 17
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              Value: 2
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            – TitleFull: International Journal of Machine Learning & Cybernetics
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