activity
20182025
most citedExact Community Recovery in Correlated Stochastic Block Models

3 citations · 10 across the 11 of their papers we have counts for

collaborators

16 papers

math.ST2025

Finding Planted Cycles in a Random Graph

Julia Gaudio, Colin Sandon, Jiaming Xu +1

In this paper, we study the problem of finding a collection of planted cycles in an \ER random graph , in analogy to the famous Planted Clique Problem.…

math.PR2025

Phase Transitions in Planted k-Factor Recovery

Julia Gaudio, Colin Sandon, Jiaming Xu +1

This paper studies the problem of inferring a -factor, specifically a spanning -regular graph, planted within an Erdos-Renyi random graph . We show that as the aver…

cs.SI2023

Exact Community Recovery in the Geometric SBM

Julia Gaudio, Xiaochun Niu, Ermin Wei

We study the problem of exact community recovery in the Geometric Stochastic Block Model (GSBM), where each vertex has an unknown community label as well as a known position, gener…

math.OC2022★ 1 cited

Joint Facility and Demand Location Problem

Ali Kaan Kurbanzade, Julia Gaudio

In typical applications of facility location problems, the location of demand is assumed to be an input to the problem. The demand may be fixed or dynamic, but ultimately outside t…

math.PR2022★ 1 cited

Average-case and smoothed analysis of graph isomorphism

Julia Gaudio, Miklós Z. Rácz, Anirudh Sridhar

We propose a simple and efficient local algorithm for graph isomorphism which succeeds for a large class of sparse graphs. This algorithm produces a low-depth canonical labeling, w…

math.ST2022

The Power of Two Matrices in Spectral Algorithms for Community Recovery

Souvik Dhara, Julia Gaudio, Elchanan Mossel +1

Spectral algorithms are some of the main tools in optimization and inference problems on graphs. Typically, the graph is encoded as a matrix and eigenvectors and eigenvalues of the…