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Academic report by Associate bet365 casino blackjack Tang Jiliang of Michigan State University

Source: Click: Time: May 31, 2022 16:43

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Tencent conference number807-949-087

Title:GNNWhen is it valid?

Abstract:Graph Neural Network (GNNs) Learning in graph representationshown inThe powerfulLearning ability, pushedIts practical applications in many fieldsincludesBiology andHealthMedicaletc.. Therefore, in recent yearsThere are a lot of related onesResearch,bet365 casino blackjack circles have put forward many ideasGNNsModel. However, realityWorldThe picture is very diverse,Existing research stillLack of pairGNNsWhencaiCan be herePractical applicationplaying a role inProfoundUnderstand. This bet365 casino blackjack will include manyGNNsModelRelated to the problem of graph denoising,Provides a new perspective to understandGNNsWhy it works on homogeneous graphs。At the same time,Passed experimentDiscovered,GNNsA lot can be obtained on some commonly used heterogeneous (or non-homogeneous) graphsOKPerformance. further,bet365 casino blackjack willDiscuss homogeneity andNotGNNGood performanceGuaranteenecessary conditions, and willgivenGNNWhen will it be possiblevalidWorkingoneMore general assumptions to support theoretical understanding and empirical observations.


Personal introduction:Tang JiliangThe doctor isAssociate bet365 casino blackjack, Department of Computer Science and Engineering, MSU。bet365 casino blackjack TangWas a scientist at Yahoo Research.himYu2015Received PhD from Arizona State bet365 casino blackjack,2010Nianhe2008respectively。Research directions include graph machine learning、Trustable artificial intelligence and its applications in education and biologyField. Received6numberWell-known in the fieldCareer AwardIBM/SIAM 2022, 2021 IEEE Big Data Security, IEEE ICDM 2021, the Association of Chinese Scholars in Computing 2021, ACM KDD2020, NSF 2019), and8best paper awards (or runner-up), includingWSDM2018andKDD2016bet365 casino blackjack Tang has participated in organizing many top international eventsConference (such asKDDSIGIRWSDMandSDM),Also serves on the editorial board of several top journals(such asTKDDandTKDE). Published in top journals, conferencesMany high-level papers, paperAccumulated by Google ScholarQuote210,000Yutimes,h-indexfor70himPublished in partnership with Cambridge bet365 casino blackjack PressOne bookAboutGNN's monograph"Graph Deep Learning".


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