The planted dense subgraph recovery conjecture

Let GnPDS(n,kn,pn,qn)G_n\sim\mathsf{PDS}(n,k_n,p_n,q_n), where the planted support has size knk_n. Exact recovery means outputting the planted support. If kn=ω(n)k_n=\omega(\sqrt n) and

lim supnlognkn2(pnqn)2nqn(1qn)<0,\limsup_{n\to\infty}\log_n\frac{k_n^2(p_n-q_n)^2}{nq_n(1-q_n)}<0,

the planted dense subgraph recovery conjecture. No polynomial-time algorithm A:G([n]kn)\mathcal{A}:G\to{[n]\choose k_n} can achieve exact recovery asymptotically.

The conjecture concerns the computational threshold for recovering the planted dense subgraph, which is asserted to be substantially stronger than the threshold for detection. The surrounding discussion attributes this conjectured threshold to prior work, but the supplied text gives no resolution.

Sources & referencesView supporting material

Primary source

Guy Bresler and Tianze Jiang, “Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique”, arXiv:2306.17719 (2023).

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