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#stochasticblockmodels — Public Fediverse posts

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  1. "Random line graphs and edge-attributed network inference", Lubberts et al. 2024 (Carey E. Proiebe's lab).

    arxiv.org/abs/2103.14726

    "Our results demonstrate that the line graph of a stochastic block model exhibits underlying block structure ... By naturally incorporating information encoded in both vertices and edges, the random line graph improves network inference."

    arxiv.org/abs/2103.14726

    #GraphTheory #graphs #SBM #StochasticBlockModels