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VoG: Summarizing and Understanding Large Graphs

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dc.contributor.authorDanai Koutrako
dc.contributor.authorKang, Uko
dc.contributor.authorJilles Vreekenko
dc.contributor.authorChristos Faloutsosko
dc.date.accessioned2014-11-11T07:44:02Z-
dc.date.available2014-11-11T07:44:02Z-
dc.date.created2014-01-03-
dc.date.created2014-01-03-
dc.date.issued2014-04-24-
dc.identifier.citationSIAM International Conference on Data Mining (SDM) 2014-
dc.identifier.urihttp://hdl.handle.net/10203/190513-
dc.languageEnglish-
dc.publisherSIAM (Society for Industrial and Applied Mathematics)-
dc.titleVoG: Summarizing and Understanding Large Graphs-
dc.typeConference-
dc.identifier.scopusid2-s2.0-84938603849-
dc.type.rimsCONF-
dc.citation.publicationnameSIAM International Conference on Data Mining (SDM) 2014-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationPhiladelphia, PA, USA-
dc.embargo.liftdate9999-12-31-
dc.embargo.terms9999-12-31-
dc.contributor.localauthorKang, U-
dc.contributor.nonIdAuthorDanai Koutra-
dc.contributor.nonIdAuthorJilles Vreeken-
dc.contributor.nonIdAuthorChristos Faloutsos-
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