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目录ScalingProprioceptive-VisualLearningwithHeterogeneousPre-trainedTransformersTL;DRMethodStemTrunkLossHeadExperiment训练资源效果可视化总结与发散相关链接资料查询ScalingProprioceptive-VisualLearningwithHeterogeneousPre-trainedTransformersScaling
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目录读论文ConvolutionalNeuralNetworksonGraphswithFastLocalizedSpectralFilteringHeterogeneousGraphTransformerMetaRelationDynamicHeterogeneousGraphGeneralGNNHeterogeneousGNNsHETEROGENEOUSGRAPHTRANSFORMERgeneralattention-basedGNNsHGT计算方式A
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目录概符号说明各种定义HeterogeneousnetworkAttributednetworkAttributedmultiplexnetwork代码CenY.,ZouX.,ZhangJ.,YangH.,ZhouJ.andTangJ.Representationlearningforattributedmultiplexheterogeneousnetwork.KDD,2019.概本文在Attributed(结
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目录概符号说明HANNode-levelattentionSemantic-levelattention代码WangX.,JiH.,ShiC.,WangB.,CuiP.,YuP.andYeY.Heterogeneousgraphattentionnetwork.WWW,2019.概Attention+异构图.符号说明\(\mathcal{G}=(\mathcal{V,E})\),图;\(\phi:
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IntentGC-AScalableGraphConvolutionFrameworkFusingHeterogeneousInformationforRecommendation，KDD19基于异构图神经网络的推荐算法，ppt笔记
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10.1Heterogeneous&KnowledgeGraphEmbeddingRecap:ASingleGNNLayer回顾一个单层GNN层应该包括：(1)Message\(\mathbf{m}_{u}^{(l)}=\operatorname{MSG}^{(