Carpentier's motif-counting conjecture for community recovery in the stochastic block model
Carpentier's motif-counting conjecture for community recovery in the stochastic block model
Let be a connected graph with . For any partition of into groups in which and belong to the same group, let be the set of edges of joining distinct groups, and set
Carpentier's motif-counting conjecture. If
for every such partition, and if and , then the communities in the stochastic block model can be recovered by an algorithm based on , the count of occurrences of the motif .
The conjecture identifies a sufficient combinatorial condition on a motif for counting its occurrences to achieve community recovery in the regime with more than communities. The supplied text does not state whether this claim has been proved or disproved.
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Sources & referencesView supporting material
Primary source
Alexandra Carpentier, Christophe Giraud and Nicolas Verzelen, “Phase Transition for Stochastic Block Model with more than n Communities (II)”, arXiv:2511.21526 (2025).
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