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Apr, 2024
DSGNN: 一种用于区域空气质量估计的双视图超网格感知图神经网络
DSGNN: A Dual-View Supergrid-Aware Graph Neural Network for Regional Air Quality Estimation
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Xin Zhang, Ling Chen, Xing Tang, Hongyu Shi
TL;DR
提出了一种双视图超网格感知图神经网络(DSGNN)用于区域空气质量估计,通过对远程网格区域的空间依赖性进行建模,实现了在无空气质量监测站的情况下估计目标区域的空气质量。
Abstract
air quality estimation
can provide air quality for target regions without air quality stations, which is useful for the public. Existing
air quality estimation
methods divide the study area into disjointed grid r
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