SASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction

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datacite.relatedItem.firstPage346
datacite.relatedItem.issue8
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorWei Li
dc.contributor.authorXi Zhan
dc.contributor.authorXin Liu
dc.contributor.authorLei Zhang
dc.contributor.authorYu Pan
dc.contributor.authorZhisong Pan
dc.date.accessioned2025-05-14T14:50:51Z
dc.date.available2025-05-14T14:50:51Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12080346
dc.identifier.otherjz000148-0344
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27066
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleSASTGCN: A Self-Adaptive Spatio-Temporal Graph Convolutional Network for Traffic Prediction
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27067
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