Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus

10.1080/13658816.2023.2203218

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Bibliographic Details
Main Authors:	Zhao, Tianhong, Huang, Zhengdong, Tu, Wei, Biljecki, Filip, Chen, Long
Other Authors:	ARCHITECTURE
Format:	Article
Published:	Informa UK Limited 2023
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/239084
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Institution:	National University of Singapore

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record_format	dspace
spelling	sg-nus-scholar.10635-2390842024-11-14T04:25:11Z Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus Zhao, Tianhong Huang, Zhengdong Tu, Wei Biljecki, Filip Chen, Long ARCHITECTURE Dr Filip Biljecki 10.1080/13658816.2023.2203218 International Journal of Geographical Information Science 1-27 2023-05-02T01:13:45Z 2023-05-02T01:13:45Z 2023-04-26 2023-04-28T08:53:28Z Article Zhao, Tianhong, Huang, Zhengdong, Tu, Wei, Biljecki, Filip, Chen, Long (2023-04-26). Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus. International Journal of Geographical Information Science : 1-27. ScholarBank@NUS Repository. https://doi.org/10.1080/13658816.2023.2203218 1365-8816 1362-3087 https://scholarbank.nus.edu.sg/handle/10635/239084 Informa UK Limited Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1080/13658816.2023.2203218
author2	ARCHITECTURE
author_facet	ARCHITECTURE Zhao, Tianhong Huang, Zhengdong Tu, Wei Biljecki, Filip Chen, Long
format	Article
author	Zhao, Tianhong Huang, Zhengdong Tu, Wei Biljecki, Filip Chen, Long
spellingShingle	Zhao, Tianhong Huang, Zhengdong Tu, Wei Biljecki, Filip Chen, Long Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
author_sort	Zhao, Tianhong
title	Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
title_short	Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
title_full	Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
title_fullStr	Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
title_full_unstemmed	Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
title_sort	developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
publisher	Informa UK Limited
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/239084
_version_	1821215421545578496

Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus

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