Spatiotemporal PM2.5 forecasting via dynamic geographical Graph Neural Network

Qin Zhao, Jiajun Liu, Xinwen Yang, Hongda Qi, Jie Lian

Abstract: Highlights•More accurate predictions by capturing both temporal and spatial information•The model significantly outperforms existing methods in long-term forecasting•The model offers practical value for real-world air quality forecasting