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A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network.

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Title: A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network.
Authors: Mingying Xu1, Junping Du1, junpingdu@126.com, Zhe Xue1, Zeli Guan1, Feifei Kou1, Lei Shi2
Source: International Journal of Intelligent Systems; Sep2022, Vol. 37 Issue 9, p6331-6353, 23p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158876451
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PubType: Academic Journal
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  Data: A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=158876451
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      – Type: doi
        Value: 10.1002/int.22846
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 6331
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      – TitleFull: A scientific research topic trend prediction model based on multi-LSTM and graph convolutional network.
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            NameFull: Mingying Xu
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            NameFull: Junping Du
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            NameFull: Zhe Xue
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            NameFull: Zeli Guan
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            – D: 01
              M: 09
              Text: Sep2022
              Type: published
              Y: 2022
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              Value: 37
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