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SIM-GCN: similarity graph convolutional networks for charges prediction.

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Title: SIM-GCN: similarity graph convolutional networks for charges prediction.
Authors: Ge, Qiang1, Zhang, Jing1, Guo, Xiaoding1, gxd@henu.edu.cn
Source: Artificial Intelligence & Law; Dec2025, Vol. 33 Issue 4, p983-1005, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: SIM-GCN: similarity graph convolutional networks for charges prediction.
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  Data: <searchLink fieldCode="AU" term="%22Ge%2C+Qiang%22">Ge, Qiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Jing%22">Zhang, Jing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Guo%2C+Xiaoding%22">Guo, Xiaoding</searchLink><relatesTo>1</relatesTo>, <i>gxd@henu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+%26+Law%22">Artificial Intelligence & Law</searchLink>; Dec2025, Vol. 33 Issue 4, p983-1005, 23p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=189252347
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      – Type: doi
        Value: 10.1007/s10506-024-09410-0
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 983
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      – TitleFull: SIM-GCN: similarity graph convolutional networks for charges prediction.
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            NameFull: Ge, Qiang
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            NameFull: Zhang, Jing
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            NameFull: Guo, Xiaoding
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          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 33
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            – TitleFull: Artificial Intelligence & Law
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