activity
20152026
most citedA Note on Isolating Cut Lemma for Submodular Function Minimization

8 citations · 13 across the 11 of their papers we have counts for

collaborators

18 papers

cs.DS2026

The Power of the Score Sequence of a Tournament

Prantar Ghosh, Sahil Kuchlous, Shravan Mehra +1

What problems can one solve on a tournament if only its score sequence is known? Tournaments are oriented complete graphs that form an extensively-studied class of directed graphs…

cs.DS2025

Directed and Undirected Vertex Connectivity Problems are Equivalent for Dense Graphs

Olivier Fischer, Yonggang Jiang, Sagnik Mukhopadhyay +1

Vertex connectivity and its variants are among the most fundamental problems in graph theory, with decades of extensive study and numerous algorithmic advances. The directed varian…

cs.DS2025

Global vs. s-t Vertex Connectivity Beyond Sequential: Almost-Perfect Reductions & Near-Optimal Separations

Joakim Blikstad, Yonggang Jiang, Sagnik Mukhopadhyay +1

A recent breakthrough by [LNPSY STOC'21] showed that solving s-t vertex connectivity is sufficient (up to polylogarithmic factors) to solve (global) vertex connectivity in the sequ…

cs.DS2025

Shortcuts and Transitive-Closure Spanners Approximation

Parinya Chalermsook, Yonggang Jiang, Sagnik Mukhopadhyay +1

We study polynomial-time approximation algorithms for two closely-related problems, namely computing shortcuts and transitive-closure spanners (TC spanners). For a directed unweigh…

cs.DS2024

Polynomial Pass Semi-Streaming Lower Bounds for K-Cores and Degeneracy

Sepehr Assadi, Prantar Ghosh, Bruno Loff +2

The following question arises naturally in the study of graph streaming algorithms: "Is there any graph problem which is "not too hard", in that it can be solved efficiently with t…

cs.DS2023

Finding a Small Vertex Cut on Distributed Networks

Yonggang Jiang, Sagnik Mukhopadhyay

We present an algorithm for distributed networks to efficiently find a small vertex cut in the CONGEST model. Given a positive integer , our algorithm can, with high probability…