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PSTCGCN: Principal spatio-temporal causal graph convolutional network for traffic flow prediction.

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Title: PSTCGCN: Principal spatio-temporal causal graph convolutional network for traffic flow prediction.
Authors: Yang, Shiyu1,2,3, 2549314873@qq.com, Wu, Qunyong1,2,3, qywu@fzu.edu.cn, Li, Ziwei1,2,3, 225520010@fzu.edu.cn, Wang, Keyue1,2,3, 225520020@fzu.edu.cn
Source: Neural Computing & Applications; Jul2025, Vol. 37 Issue 20, p14751-14764, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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  Data: PSTCGCN: Principal spatio-temporal causal graph convolutional network for traffic flow prediction.
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  Data: <searchLink fieldCode="AU" term="%22Yang%2C+Shiyu%22">Yang, Shiyu</searchLink><relatesTo>1,2,3</relatesTo>, <i>2549314873@qq.com</i><br /><searchLink fieldCode="AU" term="%22Wu%2C+Qunyong%22">Wu, Qunyong</searchLink><relatesTo>1,2,3</relatesTo>, <i>qywu@fzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Ziwei%22">Li, Ziwei</searchLink><relatesTo>1,2,3</relatesTo>, <i>225520010@fzu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Keyue%22">Wang, Keyue</searchLink><relatesTo>1,2,3</relatesTo>, <i>225520020@fzu.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Neural+Computing+%26+Applications%22">Neural Computing & Applications</searchLink>; Jul2025, Vol. 37 Issue 20, p14751-14764, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186464432
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      – Type: doi
        Value: 10.1007/s00521-024-10591-7
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      – Code: eng
        Text: English
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      – TitleFull: PSTCGCN: Principal spatio-temporal causal graph convolutional network for traffic flow prediction.
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            NameFull: Yang, Shiyu
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            NameFull: Wu, Qunyong
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            NameFull: Li, Ziwei
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              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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              Value: 37
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              Value: 20
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