内容详情：人工智能大纲升级版本.pdf Geometric_Deep_Learning-_Going_beyond_Euclidean_data.pdf A_Comprehensive_Survey_on_Graph_Neural_Networks.pdf Neural_Message_Passing_for_Quantum_Chemistry.pdf Computational_Capabilities_of_Graph_Neural_Networks(1).pdf Deep_Learning_on_Graphs-_A_Survey.pdf Non-local_Neural_Networks.pdf The_Graph_Neural_Network_Model.pdf Graph_Neural_Networks：A_Review_of_Methods_and_Applications.pdf Relational_Inductive_Biases,_Deep_Learning,_and_Graph_Networks.pdf Stochastic_Training_of_Graph_Convolutional_Networks_with_Variance_Reduction.pdf Inductive_Representation_Learning_on_Large_Graphs.pdf FastGCN-_Fast_Learning_with_Graph_Convolutional_Networks_via_Importance_Sampling.pdf Adaptive_Sampling_Towards_Fast_Graph_Representation_Learning.pdf Deeper_Insights_into_Graph_Convolutional_Networks_f...等。
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