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20122021
most citedHierarchical Agglomerative Graph Clustering in Nearly-Linear Time

10 citations · 16 across the 7 of their papers we have counts for

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12 papers · 1 filter

cs.DS2024

Dynamic PageRank: Algorithms and Lower Bounds

Rajesh Jayaram, Jakub Łącki, Slobodan Mitrović +2

We consider the PageRank problem in the dynamic setting, where the goal is to explicitly maintain an approximate PageRank vector for a graph under a sequence of…

cs.DS2023

Fully Dynamic Consistent -Center Clustering

Jakub Łącki, Bernhard Haeupler, Christoph Grunau +2

We study the consistent k-center clustering problem. In this problem, the goal is to maintain a constant factor approximate -center solution during a sequence of point inser…

cs.DS202110 cited

Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time

Laxman Dhulipala, David Eisenstat, Jakub Łącki +2

We study the widely used hierarchical agglomerative clustering (HAC) algorithm on edge-weighted graphs. We define an algorithmic framework for hierarchical agglomerative graph clus…

cs.DS2019

Fully Dynamic Matching: Beating 2-Approximation in Update Time

Soheil Behnezhad, Jakub Łącki, Vahab Mirrokni

In fully dynamic graphs, we know how to maintain a 2-approximation of maximum matching extremely fast, that is, in polylogarithmic update time or better. In a sharp contrast and de…

cs.DS2019

Near-Optimal Massively Parallel Graph Connectivity

Soheil Behnezhad, Laxman Dhulipala, Hossein Esfandiari +2

Identifying the connected components of a graph, apart from being a fundamental problem with countless applications, is a key primitive for many other algorithms. In this paper, we…

cs.DS2019

Reliable Hubs for Partially-Dynamic All-Pairs Shortest Paths in Directed Graphs

Adam Karczmarz, Jakub Łącki

We give new partially-dynamic algorithms for the all-pairs shortest paths problem in weighted directed graphs. Most importantly, we give a new deterministic incremental algorithm f…