AI RESEARCH
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
arXiv CS.LG
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ArXi:2101.04264v2 Announce Type: replace Accurately forecasting air quality is critical to protecting general public from lung and heart diseases. This is a challenging task due to the complicated interactions among distinct pollution sources and various other influencing factors. Existing air quality forecasting methods cannot effectively model the diffusion processes of air pollutants between cities and monitoring stations, which may suddenly deteriorate the air quality of a region.