A Higher-Order Graph Convolutional Network for Location Recommendation of an Air-Quality-Monitoring Station

A Higher-Order Graph Convolutional Network for Location Recommendation of an Air-Quality-Monitoring Station

The location recommendation of an air-quality-monitoring station is a prerequisite for inferring the air-quality distribution in urban areas. How to use a limited number of monitoring equipment to accurately infer air quality depends on the location of the monitoring equipment. In this paper, our ma...

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Bibliographic Details
Main Authors: Yu Kang, Jie Chen, Yang Cao, Zhenyi Xu
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Remote Sensing
Subjects:
air-quality inference
spatiotemporal interaction
graph convolutional networks
station location recommendation
incremental learning
Online Access:https://www.mdpi.com/2072-4292/13/8/1600

Internet

https://www.mdpi.com/2072-4292/13/8/1600

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