# AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

> Полный текст доступен на английском

**Published:** 30 сентября 2026 г.
**Author:** Zhenyu Lei, Chenghao Liu, Yushun Dong, Qi R. Wang, Jundong Li
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/ru/articles/adast-adaptive-coupling-for-spatial-temporal-forecasting

arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks. While existing methods implicitly assume strong spatiotemporal coupling, we observe that real-world ST data exhibits…

> Материал агрегирован из первоисточника: **arXiv — cs.AI**
> [Читать полностью в arXiv — cs.AI](https://arxiv.org/abs/2609.36119)

**Теги:** #arXiv

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