English(EN) TopoST: Topology-Conditioned Node Specialization for Urban Spatio-Temporal Foundation Models

TopoST 模型赋能城市时空基础模型的零样本泛化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-14 05:00

研究人员开发了 TopoST，一种用于城市时空基础模型的新方法，可增强跨不同城市场景的知识共享。通过结合在局部子图上的共享学习与拓扑条件节点专业化，TopoST 从拓扑表示生成节点特定参数。该方法无需目标特定嵌入或模型更新，即可实现对未见城市和任务的有效零样本泛化。 AI

影响增强了城市时空模型的泛化能力，有望改善城市规划和模拟。

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arXiv cs.AI TIER_1 English(EN) · Kaiyun Wei, Yue Xu, Wenying Duan, Zichen Xu, Shuai Ma, Xiaoxi He · 2026-11-14 05:00

TopoST：面向城市时空基础模型的拓扑条件节点专业化

arXiv:2611.15440v1 Announce Type: cross Abstract: Urban spatio-temporal foundation models must share knowledge across diverse urban scenarios while accommodating heterogeneous node dynamics. Our analysis of 20+ datasets spanning diverse urban scenarios reveals recurring local gra…