Partial Recovery in the Graph Alignment Problem

• 成果类型: Article
• 署名作者: Hall, Georgina; Massoulie, Laurent
• 署名单位: INSEAD Business School; Inria
• 刊物名称: OPERATIONS RESEARCH
• ISSN/ISSBN: 0030-364X
• DOI: 10.1287/opre.2022.2355
• 发表日期: 2023
• 页码: 259-272
• 关键词: protein-interaction networks; global alignment; relaxations

摘要

In this paper, we consider the graph alignment problem, which is the problem of recovering, given two graphs, a one-to-one mapping between nodes that maximizes edge overlap. This problem can be viewed as a noisy version of the well-known graph isomorphism problem and appears in many applications, including social network deanonymization and cellular biology. Our focus here is on partial recovery; that is, we look for a one-to-one mapping that is correct on a fraction of the nodes of the graph rather than on all of them, and we assume that the two input graphs to the problem are correlated Erdos-Renyi graphs of parameters (n, q, s). Our main contribution is then to give necessary and sufficient conditions on (n, q, s) under which partial recovery is possible with high probability as the number of nodes n goes to infinity. In particular, we show that it is possible to achieve partial recovery in the nqs = Theta(1) regime under certain additional assumptions.