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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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | International Journal of Digital Earth |
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| Online Access: | http://dx.doi.org/10.1080/17538947.2023.2220610 |