Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Field	Value	Language
dc.contributor.author	Bai, L
dc.contributor.author	Yao, L
dc.contributor.author	Li, C
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Wang, C
dc.date	2020-12-06
dc.date.accessioned	2020-10-29T03:17:31Z
dc.date.available	2020-09-26
dc.date.available	2020-10-29T03:17:31Z
dc.date.issued	2020-12-30
dc.identifier.citation	2020
dc.identifier.uri	http://hdl.handle.net/10453/143566
dc.language	en
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	34th Conference on Neural Information Processing Systems
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
dc.type	Conference Proceeding
utslib.location.activity	online
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2020-10-29T03:17:25Z
pubs.finish-date	2020-12-12
pubs.publication-status	Accepted
pubs.start-date	2020-12-06

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