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Scalable spatio-temporal autoregressive modeling by designing equivalent graph convolutional neural networks.

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Title: Scalable spatio-temporal autoregressive modeling by designing equivalent graph convolutional neural networks.
Authors: Zhang, Hang1,2, Dong, Guanpeng1,2, gpdong@vip.henu.edu.cn
Source: International Journal of Geographical Information Science; Feb2026, Vol. 40 Issue 2, p414-438, 25p
Database: Applied Science & Technology Source
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  Data: Scalable spatio-temporal autoregressive modeling by designing equivalent graph convolutional neural networks.
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      – Type: doi
        Value: 10.1080/13658816.2025.2526041
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 414
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      – TitleFull: Scalable spatio-temporal autoregressive modeling by designing equivalent graph convolutional neural networks.
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            NameFull: Zhang, Hang
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              Text: Feb2026
              Type: published
              Y: 2026
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