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Conference Paper: Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning

TitleSpatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning
Authors
Issue Date2021
PublisherInternational Joint Conferences on Artificial Intelligence Organization.
Citation
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, p. 1631-1637 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320895
ISBN

 

DC FieldValueLanguage
dc.contributor.authorXia, L-
dc.contributor.authorHuang, C-
dc.contributor.authorXu, Y-
dc.contributor.authorDai, P-
dc.contributor.authorBo, L-
dc.contributor.authorZhang, X-
dc.contributor.authorChen, T-
dc.date.accessioned2022-11-01T04:43:17Z-
dc.date.available2022-11-01T04:43:17Z-
dc.date.issued2021-
dc.identifier.citationProceedings of the Thirtieth International Joint Conference on Artificial Intelligence, p. 1631-1637-
dc.identifier.isbn9780999241196-
dc.identifier.urihttp://hdl.handle.net/10722/320895-
dc.languageeng-
dc.publisherInternational Joint Conferences on Artificial Intelligence Organization. -
dc.relation.ispartofProceedings of the Thirtieth International Joint Conference on Artificial Intelligence-
dc.titleSpatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning-
dc.typeConference_Paper-
dc.identifier.emailXia, L: lhaoxia@hku.hk-
dc.identifier.emailHuang, C: chuang7@hku.hk-
dc.identifier.authorityHuang, C=rp02897-
dc.identifier.doi10.24963/ijcai.2021/225-
dc.identifier.hkuros341117-
dc.identifier.spage1631-
dc.identifier.epage1637-
dc.publisher.placeCalifornia-

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