Advances in spatiotemporal graph neural network prediction research

Advances in spatiotemporal graph neural network prediction research

Being a kind of non-Euclidean data, spatiotemporal graph data exists everywhere from traffic flow, air quality index to crime case, etc. Unlike the raster data, the irregular and disordered characteristics of spatiotemporal graph data have attracted the research interest of scholars, with the predic...

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Bibliographic Details
Main Author:	Yi Wang
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2023-12-01
Series:	International Journal of Digital Earth
Subjects:	spatiotemporal graph neural network; prediction models; spatiotemporal graph data
Online Access:	http://dx.doi.org/10.1080/17538947.2023.2220610

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