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Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities.

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Title: Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities.
Authors: Nguyen, Cam-Van Thi1, vanntc@vnu.edu.vn, Kieu, Hai-Dang1,2, dangkh_uet@vnu.edu.vn, Ha, Quang-Thuy1, thuyhq@vnu.edu.vn, Phan, Xuan-Hieu1, hieupx@vnu.edu.vn, Le, Duc-Trong1, trongld@vnu.edu.vn
Source: Neurocomputing; Mar2025, Vol. 623, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182976389
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Neurocomputing%22">Neurocomputing</searchLink>; Mar2025, Vol. 623, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=182976389
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.neucom.2025.129342
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Mi-CGA: Cross-modal Graph Attention Network for robust emotion recognition in the presence of incomplete modalities.
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Nguyen, Cam-Van Thi
      – PersonEntity:
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            NameFull: Kieu, Hai-Dang
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            NameFull: Ha, Quang-Thuy
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            NameFull: Phan, Xuan-Hieu
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            NameFull: Le, Duc-Trong
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          Dates:
            – D: 28
              M: 03
              Text: Mar2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 09252312
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              Value: 623
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            – TitleFull: Neurocomputing
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