English

Partial and Exact Recovery of a Random Hypergraph from its Graph Projection

Combinatorics 2025-02-24 v1 Information Theory math.IT Probability Statistics Theory Statistics Theory

Abstract

Consider a dd-uniform random hypergraph on nn vertices in which hyperedges are included iid so that the average degree is nδn^\delta. The projection of a hypergraph is a graph on the same nn vertices where an edge connects two vertices if and only if they belong to some hyperedge. The goal is to reconstruct the hypergraph given its projection. An earlier work of Bresler, Guo, and Polyanskiy (COLT 2024) showed that exact recovery for d=3d=3 is possible if and only if δ<2/5\delta < 2/5. This work completely resolves the question for all values of dd for both exact and partial recovery and for both cases of whether multiplicity information about each edge is available or not. In addition, we show that the reconstruction fidelity undergoes an all-or-nothing transition at a threshold. In particular, this resolves all conjectures from Bresler, Guo, and Polyanskiy (COLT 2024).

Keywords

Cite

@article{arxiv.2502.14988,
  title  = {Partial and Exact Recovery of a Random Hypergraph from its Graph Projection},
  author = {Guy Bresler and Chenghao Guo and Yury Polyanskiy and Andrew Yao},
  journal= {arXiv preprint arXiv:2502.14988},
  year   = {2025}
}
R2 v1 2026-06-28T21:52:02.586Z