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Adversarial Attacks on Graph Neural Networks

dc.contributor.authorZügner, Daniel
dc.contributor.authorAkbarnejad, Amir
dc.contributor.authorGünnemann, Stephan
dc.contributor.editorDavid, Klaus
dc.contributor.editorGeihs, Kurt
dc.contributor.editorLange, Martin
dc.contributor.editorStumme, Gerd
dc.date.accessioned2019-08-27T12:55:22Z
dc.date.available2019-08-27T12:55:22Z
dc.date.issued2019
dc.identifier.doi10.18420/inf2019_29
dc.identifier.isbn978-3-88579-688-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24976
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-294
dc.subjectdeep learning
dc.subjectgraph neural networks
dc.subjectadversarial machine learning
dc.titleAdversarial Attacks on Graph Neural Networksen
dc.typeText/Conference Paper
gi.citation.endPage252
gi.citation.publisherPlaceBonn
gi.citation.startPage251
gi.conference.date23.-26. September 2019
gi.conference.locationKassel
gi.conference.sessiontitleData Science

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