DCBM community detection is reformulated as constrained nonnegative matrix factorization, producing a scalable method with strong initialization that matches inference quality on large graphs.
Qing, Discovering overlapping communities in multi- layer directed networks, Chaos, Solitons & Fractals194, 116175 (2025)
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Matrix Factorization Framework for Community Detection under the Degree-Corrected Block Model
DCBM community detection is reformulated as constrained nonnegative matrix factorization, producing a scalable method with strong initialization that matches inference quality on large graphs.