1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Guwahati
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/424841
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DC FieldValueLanguage
dc.coverage.spatialComputer Science and Engineering
dc.date.accessioned2022-12-12T11:33:51Z-
dc.date.available2022-12-12T11:33:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/424841-
dc.description.abstractGraphs provide a powerful way to model realworld scenarios Entities in realworld data can be modeled as nodes in a graph And various kinds of interactions among the entities are modeled as edges in such a graph It is a ubiquitous data structure newline
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleStructureAware Network Representation Learning on Graphs
dc.title.alternative
dc.creator.researcherMitra, Anasua
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.noteNot Available
dc.contributor.guideSingh, Sanasam Ranbir; Goswami, Diganta and Ravindran, Balaraman
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2015
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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01_fulltext.pdfAttached File23.45 MBAdobe PDFView/Open
04_abstract.pdf65.94 kBAdobe PDFView/Open
80_recommendation.pdf253.69 kBAdobe PDFView/Open
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