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Second-order hierarchical graph convolution network for skeleton-based action recognition.

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Bibliographic Details
Title: Second-order hierarchical graph convolution network for skeleton-based action recognition.
Authors: Zhang, Xu1, gzu_xuzhang@163.com, Tang, Xianghong1, xhtang@gzu.edu.cn, Lu, Jianguang1, jglu@gzu.edu.cn, Pan, Longji1, gs.ljpan22@gzu.edu.cn
Source: Multimedia Systems; Apr2026, Vol. 32 Issue 2, p1-19, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191374486
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Second-order hierarchical graph convolution network for skeleton-based action recognition.
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  Data: <searchLink fieldCode="AU" term="%22Zhang%2C+Xu%22">Zhang, Xu</searchLink><relatesTo>1</relatesTo>, <i>gzu_xuzhang@163.com</i><br /><searchLink fieldCode="AU" term="%22Tang%2C+Xianghong%22">Tang, Xianghong</searchLink><relatesTo>1</relatesTo>, <i>xhtang@gzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Lu%2C+Jianguang%22">Lu, Jianguang</searchLink><relatesTo>1</relatesTo>, <i>jglu@gzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Pan%2C+Longji%22">Pan, Longji</searchLink><relatesTo>1</relatesTo>, <i>gs.ljpan22@gzu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Systems%22">Multimedia Systems</searchLink>; Apr2026, Vol. 32 Issue 2, p1-19, 19p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191374486
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s00530-025-02162-0
    Languages:
      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 1
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      – TitleFull: Second-order hierarchical graph convolution network for skeleton-based action recognition.
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            NameFull: Zhang, Xu
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            NameFull: Tang, Xianghong
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            NameFull: Lu, Jianguang
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            NameFull: Pan, Longji
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            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 09424962
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              Value: 32
            – Type: issue
              Value: 2
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            – TitleFull: Multimedia Systems
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