activity
20172019
most citedGraph Sketching Against Adaptive Adversaries Applied to the Minimum Degree Algorithm

12 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

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…

cs.DS2019★ 3 cited

Near-Optimal Fully Dynamic Densest Subgraph

Saurabh Sawlani, Junxing Wang

We give the first fully dynamic algorithm which maintains a -approximate densest subgraph in worst-case time per update. Dense subgraph discove…

cs.DS2018

Graph Sparsification, Spectral Sketches, and Faster Resistance Computation, via Short Cycle Decompositions

Timothy Chu, Yu Gao, Richard Peng +3

We develop a framework for graph sparsification and sketching, based on a new tool, short cycle decomposition -- a decomposition of an unweighted graph into an edge-disjoint collec…

cs.DS2018★ 12 cited

Graph Sketching Against Adaptive Adversaries Applied to the Minimum Degree Algorithm

Matthew Fahrbach, Gary L. Miller, Richard Peng +3

Motivated by the study of matrix elimination orderings in combinatorial scientific computing, we utilize graph sketching and local sampling to give a data structure that provides a…

cs.DS2017

On Computing Min-Degree Elimination Orderings

Matthew Fahrbach, Gary L. Miller, Richard Peng +3

We study faster algorithms for producing the minimum degree ordering used to speed up Gaussian elimination. This ordering is based on viewing the non-zero elements of a symmetric p…