NetworkNet uses a tailored deep neural network to estimate nodal expansiveness and popularity in random networks while performing data-driven selection of high-dimensional nodal attributes.
(2018), ‘Community detection and stochastic block models: recent developments’, Journal of Machine Learning Research18(177), 1–86
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NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity
NetworkNet uses a tailored deep neural network to estimate nodal expansiveness and popularity in random networks while performing data-driven selection of high-dimensional nodal attributes.