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Simultaneous Identification of Sparse Structures and Communities in Heterogeneous Graphical Models
In this paper, within the framework of Gaussian graphical models, we introduce a novel decomposition of the underlying graphical structure into a sparse part and low-rank diagonal blocks (non-overlapped communities).
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