April 26, 2024, 4:44 a.m. | Ioana Dumitriu, Haixiao Wang, Yizhe Zhu

stat.ML updates on arXiv.org arxiv.org

arXiv:2112.11671v3 Announce Type: replace-cross
Abstract: We consider the community detection problem in sparse random hypergraphs under the non-uniform hypergraph stochastic block model (HSBM), a general model of random networks with community structure and higher-order interactions. When the random hypergraph has bounded expected degrees, we provide a spectral algorithm that outputs a partition with at least a $\gamma$ fraction of the vertices classified correctly, where $\gamma\in (0.5,1)$ depends on the signal-to-noise ratio (SNR) of the model. When the SNR grows slowly …

abstract algorithm arxiv block community detection general hypergraph interactions math.pr math.st networks random recovery stat.ml stat.th stochastic type uniform

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