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ResearchSeptember 30, 2026

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…

Zhenyu Lei, Chenghao Liu, Yushun Dong, Qi R. Wang, Jundong Li·arXiv — cs.AI
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  • 01.arXiv:2609.36119v1 Announce Type: new Abstract: Spatial-temporal (ST) forecasting underpins many real-world systems such as traffic, climate, and energy networks
  • 02.While existing methods implicitly assume strong spatiotemporal coupling, we observe that real-world ST data exhibits…

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