GenST：LLM引导的时空图节点生成预测未观测节点状态

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   arXiv · Machine Learning Theory

   GenST：LLM 引导的时空图节点生成框架用于预测未观测节点状态

   研究者提出 GenST 框架，将预测未观测节点状态（FUNS）重定义为时空图上的条件生成任务，并引入经微调的预训练 LLM 作为语义桥，从节点描述中提取功能区和路网结构等语义特征以补偿缺失的时空信号。

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