book website https cse msu edu mayao4 dlg book deeplearning on graphs yaomaandjiliangtang book website https cse msu edu mayao4 dlg book book website https cse msu edu mayao4 dlg ...
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...Book website https cse msu edu mayao dlg deeplearning on graphs yaomaandjiliangtang contents preface page x deeplearningongraphs anintroduction introduction whydeeplearningongraphs whatcontentis covered whoshouldreadthebook feature learning a brief history selection representation conclusion further reading partone foundations of graph representations properties and measures degree connectivity centrality spectral theory laplacian matrix the eigenvalues eigenvectors signal processing fourier transform iii iv complexgraphs heterogeneous bipartite multi dimensional signed hypergraphs dynamicgraphs computational tasks node focused deep feedforward networks thearchitecture activation functions output layer loss function convolutional neural theconvolution operation layers in practice non linear pooling anoverall cnnframework recurrent traditional rnns longshort term memory gated unit autoencoders undercomplete regularized training with gradient descent backpropagation preventing overtting...