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GRAPHINE: enhancing spatiotemporal supply chain forecasting using virtual node-augmented graph diffusion for improved fuel efficiency.

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Title: GRAPHINE: enhancing spatiotemporal supply chain forecasting using virtual node-augmented graph diffusion for improved fuel efficiency.
Authors: Alshehri, Abdulelah S.1 (AUTHOR) aalshehri9@ksu.edu.sa, Wasi, Azmine Toushik2 (AUTHOR), Anik, Mahfuz Ahmed2 (AUTHOR), Islam, MD Shafikul3 (AUTHOR), Hadj-Kali, Mohamed Kamel1 (AUTHOR)
Source: International Journal of Production Research. Jun2026, p1-26. 26p. 4 Illustrations.
Database: Business Source Ultimate
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DbLabel: Business Source Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Jun2026, p1-26. 26p. 4 Illustrations.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=194416022
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/00207543.2026.2685179
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 1
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      – TitleFull: GRAPHINE: enhancing spatiotemporal supply chain forecasting using virtual node-augmented graph diffusion for improved fuel efficiency.
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            NameFull: Alshehri, Abdulelah S.
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            NameFull: Wasi, Azmine Toushik
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            NameFull: Anik, Mahfuz Ahmed
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            NameFull: Islam, MD Shafikul
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            NameFull: Hadj-Kali, Mohamed Kamel
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          Dates:
            – D: 09
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Production Research
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