# Graph learning-assisted logic-based Benders decomposition for distributionally robust in-station train rescheduling under disruptions

**Published:** November 6, 2026
**Author:** Xiaobin Li, Yanbin Gao, Jianing Long, Wuming Lei
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/articles/graph-learning-assisted-logic-based-benders-decomposition-for-distributi

arXiv:2611.07520v1 Announce Type: new Abstract: Uncertainty in resource reopening times complicates train holding and rerouting decisions when resource closures coincide with arrival delays and processing-time extensions. We develop a rolling-horizon distributionally robust…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2611.07520)

**Tags:** #arXiv

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