Predictive analytics for supply chain resilience in urban infrastructure networks using graph convolutional networks

Yanfang Liu, Ruijun Hu, Wen Zhang, Qian Wu

Open source

DOI: 10.1371/journal.pone.0345444
Published: 2026-08-14
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0345444,
  title = {Predictive analytics for supply chain resilience in urban infrastructure networks using graph convolutional networks},
  author = {Yanfang Liu and Ruijun Hu and Wen Zhang and Qian Wu},
  year = {2026},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0345444},
  url = {https://doi.org/10.1371/journal.pone.0345444}
}

RIS

TY  - JOUR
TI  - Predictive analytics for supply chain resilience in urban infrastructure networks using graph convolutional networks
AU  - Yanfang Liu
AU  - Ruijun Hu
AU  - Wen Zhang
AU  - Qian Wu
PY  - 2026
JO  - PLOS One
DO  - 10.1371/journal.pone.0345444
UR  - https://doi.org/10.1371/journal.pone.0345444
ER  -

APA

Liu, Y., Hu, R., Zhang, W., & Wu, Q. (2026). Predictive analytics for supply chain resilience in urban infrastructure networks using graph convolutional networks. PLOS One. https://doi.org/10.1371/journal.pone.0345444

Source records

crossref · retrieved 2026-09-25T04:20:16.203Z