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标签“Graph”的相关文档，共103条

Training Graph Neural Networks with 1000 Layers
TrainingGraphNeuralNetworkswith1000LayersGuohaoLi12MatthiasMu¨ller1BernardGhanem2VladlenKoltun1AbstractRevGNN-WideResGNN-224DeepGraphneuralnetworks(GNNs)have88achievedexcellentresultsonvarioustask...
Neural Networks with Graph Training
2023-11-16 19:42:1314264.07 MB11
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Symmetric Spaces for Graph Embeddings A Finsler-Riemannian Approach
SymmetricSpacesforGraphEmbeddings:AFinsler-RiemannianApproachFedericoLo´pez1BeatricePozzetti2SteveTrettel3MichaelStrube1AnnaWienhard2AbstractFigure1.Symmetricspaceshavearichstructureoftotallygeode...
for Embeddings Graph Approach Spaces
2023-11-16 19:42:0010944.88 MB15
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Stochastic Iterative Graph Matching
StochasticIterativeGraphMatchingLinfengLiu1MichaelC.Hughes1SohaHassoun12Li-PingLiu1AbstractLearning-basedGraphmatching(Caetanoetal.,2009;ZanﬁrandSminchisescu,2018;Yuetal.,2020;Wangetal.,2019a;Rece...
Matching Graph Stochastic Iterative
2023-11-16 19:41:579103.91 MB18
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Size-Invariant Graph Representations for Graph Classification Extrapolations
Size-InvariantGraphRepresentationsforGraphClassiﬁcationExtrapolationsBeatriceBevilacqua1YangzeZhou2BrunoRibeiro1AbstractTrainGraphonTestEnvironmentModelEnvironmentIngeneral,Graphrepresentationlear...
for Representations Graph Classification Size-Invariant
2023-11-16 19:41:49549510.85 KB10
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Z-GCNETs Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Z-GCNETs:TimeZigzagsatGraphConvolutionalNetworksforTimeSeriesForecastingYuzhouChen12IgnacioSegovia-Dominguez34YuliaR.Gel32Abstract1.IntroductionThererecentlyhasbeenasurgeofinterestinde-Manyrealworl...
Networks Graph Time at Convolutional
2023-11-16 19:41:291838910.25 KB22
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World Model as a Graph Learning Latent Landmarks for Planning
WorldModelasaGraph:LearningLatentLandmarksforPlanningLunjunZhang12GeYang3BradlyStadie4Abstract1.IntroductionPlanning,theabilitytoanalyzethestructureofaAnintelligentagentshouldbeabletosolvedifﬁcult...
Learning Model Graph Latent as
2023-11-16 19:41:2713173.41 MB11
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Parametric Graph for Unimodal Ranking Bandit
ParametricGraphforUnimodalRankingBanditCamille-SovannearyGauthier12RomaricGaudel3ElisaFromont452BoammaniAserLompo6Abstractuserattention.Typicalexamplesofsuchdisplaysare(i)alistofnews,visibleonebyon...
for Graph Bandit Ranking Unimodal
2023-11-16 19:28:287863.41 MB2
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Optimization of Graph Neural Networks Implicit Acceleration by Skip Connections and More Depth
OptimizationofGraphNeuralNetworks:ImplicitAccelerationbySkipConnectionsandMoreDepthKeyuluXu1MozhiZhang2StefanieJegelka1KenjiKawaguchi3AbstracttheoreticalaspectsofGNNstounderstandtheirsuccessandlimi...
of Neural Networks Optimization Graph
2023-11-16 19:28:261010508 KB29
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Online Graph Dictionary Learning
OnlineGraphDictionaryLearningCe´dricVincent-Cuaz1TitouanVayer2Re´miFlamary3MarcoCorneli14NicolasCourty5Abstractchallenging,astheirnatureisbyessencenon-vectorial,andrequiresdedicatedmodellingofthe...
Learning Online Graph Dictionary
2023-11-16 19:28:2419603.5 MB14
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On Explainability of Graph Neural Networks via SubGraph Explorations
OnExplainabilityofGraphNeuralNetworksviaSubGraphExplorationsHaoYuan1HaiyangYu1JieWang2KangLi3ShuiwangJi1Abstract2018;Wangetal.,2019),andGraphpooling(Yuan&Ji,2020;Gao&Ji,2019;Zhangetal.,2018).Howeve...
of Neural Networks Graph on
2023-11-16 19:15:4313281.22 MB30
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Let’s Agree to Degree Comparing Graph Convolutional Networks in the Message-Passing Framework
Let’sAgreetoDegree:ComparingGraphConvolutionalNetworksintheMessage-PassingFrameworkFlorisGeerts1FilipMazowiecki2GuillermoA.Pe´rez13Abstractcapturestheirstructuralinformation.GraphNeuralNet-works(...
Graph Convolutional to Comparing Let
2023-11-16 19:05:061932313.37 KB11
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Interpretable Stability Bounds for Spectral Graph Filters
InterpretableStabilityBoundsforSpectralGraphFiltersHenryKenlay1DorinaThanou2XiaowenDong1AbstractaubiquitoustooldesignedtoprocessGraph-structureddata.Inadditiontovarioussignalprocessingtasks(Shumane...
for Stability Graph Filters Spectral
2023-11-16 18:47:04658670.24 KB9
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Integrated Defense for Resilient Graph Matching
IntegratedDefenseforResilientGraphMatchingJiaxiangRen1ZijieZhang1JiayinJin1XinZhao1SixingWu2YangZhou1YelongShen3TianshiChe1RuomingJin4DejingDou56AbstractZhang&Tong,2016;Muetal.,2016;Heimannetal.,20...
for Matching Graph Integrated Defense
2023-11-16 18:47:041809812.8 KB1
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Information Obfuscation of Graph Neural Networks
InformationObfuscationofGraphNeuralNetworksPeiyuanLiao1HanZhao2KeyuluXu3TommiJaakkola3GeoffreyGordon1StefanieJegelka3RuslanSalakhutdinov1Abstractthesocialnetwork.Bytakingthestructuredinformationoff...
of Neural Networks Graph Information
2023-11-16 18:47:039522.12 MB5
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Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
ImprovingMolecularGraphNeuralNetworkExplainabilitywithOrthonormalizationandInducedSparsityRyanHenderson1Djork-Arne´Clevert1FlorianeMontanari1AbstractHowever,theopaquenatureofartiﬁcialneuralnetwor...
Neural with Graph Improving Network
2023-11-16 18:47:0314412.04 MB28
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Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
ImprovingBreadth-WiseBackpropagationinGraphNeuralNetworksHelpsLearningLong-RangeDependenciesDenisLukovnikov1AsjaFischer1Abstract2020),(2)over-smoothing(Lietal.,2018;Chenetal.,2019;Zhao&Akoglu,2020;...
Neural Networks Graph in Improving
2023-11-16 18:47:021294366.29 KB20
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How Framelets Enhance Graph Neural Networks
HowFrameletsEnhanceGraphNeuralNetworksXuebinZheng1BingxinZhou1JunbinGao1YuGuangWang234PietroLiò5MingLi6GuidoMontúfar72Abstract1.IntroductionThispaperpresentsanewapproachforassem-Graphneuralnetwor...
Neural Networks Graph How Framelets
2023-11-16 18:46:575468.27 MB11
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Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
HierarchicalAgglomerativeGraphClusteringinNearly-LinearTimeLaxmanDhulipala1DavidEisenstat2JakubŁa˛cki2VahabMirrokni2JessicaShi1Abstractﬁrstproposednearly50yearsago(King,1967;Lance&Williams,1967;...
Graph Hierarchical in Clustering Time
2023-11-16 18:46:54877421.66 KB15
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GraphDF A Discrete Flow Model for Molecular Graph Generation
GraphDF:ADiscreteFlowModelforMolecularGraphGenerationYouzhiLuo1KeqiangYan1ShuiwangJi1Abstractdatatocontinuousdatabyaddingreal-valuednoise.How-ever,suchdequantizationprocessingpreventsmodelsfromWeco...
for Model Graph Discrete Molecular
2023-11-16 18:46:511689850.67 KB4
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GraphNorm A Principled Approach to Accelerating Graph Neural Network Training
GraphNorm:APrincipledApproachtoAcceleratingGraphNeuralNetworkTrainingTianleCai12ShengjieLuo345KeyuluXu6DiHe7Tie-YanLiu7LiweiWang34Abstract2017).Empirically,GNNshavesucceededinavarietyoftaskssuchasc...
Neural Graph to Approach Principled
2023-11-16 18:46:519033.99 MB15
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