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arXiv — cs.AI

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标题为英语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…

arXiv — cs.AI作者: Zhenyu Lei, Chenghao Liu, Yushun Dong, Qi R. Wang, Jundong Li2026年9月30日 (9月30日)
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  • 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…
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AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

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