Graph Neural Network for Air Quality Prediction: A Case Study in Madrid

Graph Neural Network for Air Quality Prediction: A Case Study in Madrid

Air quality monitoring, modelling and forecasting are considered pressing and challenging topics for citizens and decision-makers, including the government. The tools used to achieve the above goals vary depending on the opportunities provided by technological development. Much attention is currentl...

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Bibliographic Details
Main Authors:	Ditsuhi Iskandaryan, Francisco Ramos, Sergio Trilles
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Access
Subjects:	Graph neural network attention temporal graph convolutional network spatiotemporal prediction nitrogen dioxide prediction air quality prediction
Online Access:	https://ieeexplore.ieee.org/document/10005808/

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