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Conference Paper: Multiplex Heterogeneous Graph Convolutional Network

TitleMultiplex Heterogeneous Graph Convolutional Network
Authors
Yu, PFu, CYu, YHuang, CZhao, ZDong, J
Issue Date2022
PublisherACM.
Citation
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, p. 2377-2387 How to Cite?
DOI: http://dx.doi.org/10.1145/3534678.3539482
Persistent Identifierhttp://hdl.handle.net/10722/321189
ISBN
9781450393850

 

DC FieldValueLanguage
dc.contributor.authorYu, P-
dc.contributor.authorFu, C-
dc.contributor.authorYu, Y-
dc.contributor.authorHuang, C-
dc.contributor.authorZhao, Z-
dc.contributor.authorDong, J-
dc.date.accessioned2022-11-01T04:48:34Z-
dc.date.available2022-11-01T04:48:34Z-
dc.date.issued2022-
dc.identifier.citationProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, p. 2377-2387-
dc.identifier.isbn9781450393850-
dc.identifier.urihttp://hdl.handle.net/10722/321189-
dc.languageeng-
dc.publisherACM. -
dc.relation.ispartofProceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining-
dc.titleMultiplex Heterogeneous Graph Convolutional Network-
dc.typeConference_Paper-
dc.identifier.emailHuang, C: chuang7@hku.hk-
dc.identifier.authorityHuang, C=rp02897-
dc.identifier.doi10.1145/3534678.3539482-
dc.identifier.hkuros341106-
dc.identifier.spage2377-
dc.identifier.epage2387-
dc.publisher.placeNew York, NY, USA-

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