阿斯塔纳时间
AI QAZAQSTANKZ · AI测试版

哈萨克斯坦人工智能与高科技领域的智能门户

Research1 分钟阅读

内容来自原始来源:

arXiv — cs.AI

在 arXiv — cs.AI 阅读全文

本内容来自公开来源。若发布内容影响您的权利 → 申请删除信息

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)
提供 1 种语言版本

AI 摘要:要点

  • 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…
Research
KZ·AI 75BA
Инсайт дня

AdaST: Adaptive Coupling for Spatial-Temporal Forecasting

标签:#arXiv
Поделиться:

相关文章

返回列表