AI RESEARCH

Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model

arXiv CS.LG

ArXi:2604.20907v1 Announce Type: cross We study the community detection problem in the non-uniform hypergraph stochastic block model (HSBM), where hyperedges of varying sizes coexist. This setting captures higher-order and multi-view interactions and raises a fundamental question: can multiple uniform hypergraph layers below the detection threshold be combined to enable weak recovery? We answer this question by establishing a Kesten--Stigum-type bound for weak recovery in a general class of non-uniform HSBMs with $r$ blocks, generated according to multiple symmetric probability tensors.