Predicting task bottlenecks in digital manufacturing enterprises based on spatio-temporal graph convolutional networks
Crossref DOI link: https://doi.org/10.1007/s42524-025-4030-5
Published Online: 2025-01-23
Published Print: 2025-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Yin, Jun
Ma, Rutao
Ge, Shilun
Text and Data Mining valid from 2025-01-23
Version of Record valid from 2025-01-23
Article History
Received: 20 February 2024
Revised: 29 October 2024
Accepted: 15 November 2024
First Online: 23 January 2025
Ethics
: Competing Interests The authors declare that they have no competing interests.