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MapLayNet: map layout representation learning using weakly supervised structure-aware graph neural networks.

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Title: MapLayNet: map layout representation learning using weakly supervised structure-aware graph neural networks.
Authors: Yang, Jian1 (AUTHOR) jian.yang@tum.de, Chen, Cheng2 (AUTHOR), Jia, Fenli1 (AUTHOR), Xie, Xiao3 (AUTHOR), Fang, Li3 (AUTHOR), Wang, Guangxia4 (AUTHOR), Meng, Liqiu5 (AUTHOR)
Source: Cartography & Geographic Information Science. Aug2025, p1-22. 22p. 12 Illustrations.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 187275909
AccessLevel: 2
PubType: Academic Journal
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  Data: MapLayNet: map layout representation learning using weakly supervised structure-aware graph neural networks.
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  Data: <searchLink fieldCode="JN" term="%22Cartography+%26+Geographic+Information+Science%22">Cartography & Geographic Information Science</searchLink>. Aug2025, p1-22. 22p. 12 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=187275909
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/15230406.2025.2533316
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: MapLayNet: map layout representation learning using weakly supervised structure-aware graph neural networks.
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            NameFull: Yang, Jian
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            NameFull: Chen, Cheng
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            NameFull: Jia, Fenli
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            NameFull: Fang, Li
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            NameFull: Wang, Guangxia
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          Dates:
            – D: 08
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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