The paper proposes a degree-corrected, signed block covariance model for feature clustering, with a variational EM algorithm and a proof that community memberships are consistently estimable.
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Community Detection with Heterogeneous Block Covariance Model
The paper proposes a degree-corrected, signed block covariance model for feature clustering, with a variational EM algorithm and a proof that community memberships are consistently estimable.