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20092025
most citedA Novel Approach to Finding Near-Cliques: The Triangle-Densest Subgraph Problem

18 citations · 169 across the 45 of their papers we have counts for

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20 papers · 1 filter

cs.DS2025

Estimating Hitting Times Locally At Scale

Themistoklis Haris, Fabian Spaeh, Spyros Dragazis +1

Hitting times provide a fundamental measure of distance in random processes, quantifying the expected number of steps for a random walk starting at node to reach node . They…

cs.DS2023★ 5 cited

Node-Differentially Private Estimation of the Number of Connected Components

Iden Kalemaj, Sofya Raskhodnikova, Adam Smith +1

We design the first node-differentially private algorithm for approximating the number of connected components in a graph. Given a database representing an -vertex graph and…

cs.DS2020★ 17 cited

Finding Densest -Connected Subgraphs

Francesco Bonchi, David García-Soriano, Atsushi Miyauchi +1

Dense subgraph discovery is an important graph-mining primitive with a variety of real-world applications. One of the most well-studied optimization problems for dense subgraph dis…

cs.DS2020★ 2 cited

Joint Alignment From Pairwise Differences with a Noisy Oracle

Michael Mitzenmacher, Charalampos E. Tsourakakis

In this work we consider the problem of recovering discrete random variables (where is constant) with the smallest possible numbe…

cs.DS2020★ 8 cited

Query-Efficient Correlation Clustering

David García-Soriano, Konstantin Kutzkov, Francesco Bonchi +1

Correlation clustering is arguably the most natural formulation of clustering. Given n objects and a pairwise similarity measure, the goal is to cluster the objects so that, to the…

cs.DS2019★ 2 cited

Flowless: Extracting Densest Subgraphs Without Flow Computations

Digvijay Boob, Yu Gao, Richard Peng +4

We propose a simple and computationally efficient method for dense subgraph discovery, which is a classic problem both in theory and in practice. It is well known that dense subgra…