RobustGraphRepresentationLearningviaNeuralSparsificationChengZheng1BoZong2WeiCheng2DongjinSong2JingchaoNi2WenchaoYu2HaifengChen2WeiWang1Abstracttioninsocialnetworks(Akogluetal.,2015),recommen-datio...
BayesianSparsificationofDeepC-valuedNetworksIvanNazarov1EvgenyBurnaev1AbstractthatcausedegeneratetransformationsinR-valuednetworkswithtwicethefeaturedimensions.Theirstudydemon-Withcontinualminiatur...
ImprovedDynamicGraphLearningthroughFault-TolerantSparsificationChunJiangZhu1SabineStorandt2Kam-YiuLam3SongHan1JinboBi1Abstractβ∗=(β∗,···,βn∗)withGaussiannoises,i.e.,forevery1Graphsparsific...
K-meansclusteringusingrandommatrixsparsificationKaushikSinha1Abstractalgorithmbeginswithkarbitrary“clustercenters”,andineachiteration,eachpointisassignedtothenearestclusterK-meansclusteringalgori...