Guest Editorial: Graph-powered machine learning in future-generation computing systems

Pan, S

Ji, S Jin, D Xia, F Yu, PS

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Field	Value	Language
dc.contributor.author	Pan, S https://orcid.org/0000-0003-0794-527X
dc.contributor.author	Ji, S
dc.contributor.author	Jin, D
dc.contributor.author	Xia, F
dc.contributor.author	Yu, PS
dc.date.accessioned	2023-04-05T04:35:21Z
dc.date.available	2023-04-05T04:35:21Z
dc.date.issued	2022-01-01
dc.identifier.citation	Future Generation Computer Systems, 2022, 126, pp. 88-90
dc.identifier.issn	0167-739X
dc.identifier.issn	1872-7115
dc.identifier.uri	http://hdl.handle.net/10453/169186
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Future Generation Computer Systems
dc.relation.isbasedon	10.1016/j.future.2021.08.005
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0803 Computer Software, 0805 Distributed Computing, 0806 Information Systems
dc.subject.classification	Distributed Computing
dc.title	Guest Editorial: Graph-powered machine learning in future-generation computing systems
dc.type	Journal Article
utslib.citation.volume	126
utslib.for	0803 Computer Software
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-05T04:35:20Z
pubs.publication-status	Published
pubs.volume	126

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