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A. Mcgregor

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Preprint Sep 2026

Scalable Triangle Counting: The Threshold Algorithm

We study one-pass triangle counting on random-order edge streams. We present a remarkably simple algorithm---read edges from the stream until $Q$ triangles are observed in the prefix, then output $Q\,(m/S)^3$ where $S$ is the stopping length---and prove that, when the maximum number of triangles incident to any edge sa...

Asaf Etgar, A. Gilbert, Quan-Quan C. Liu et al. · 0 citations
Preprint Sep 2026

Parameter-Free Triangle Counting

Given an undirected, unweighted graph $G = (V,E)$ with $n$ vertices and $m$ edges, the triangle counting problem seeks the number of three-cycles in it. Triangle and subgraph counting are classical problems in graph algorithms, central to applications such as community detection, computing the clustering coefficient, m...

Asaf Etgar, A. Gilbert, Quan-Quan C. Liu et al. · 0 citations
Preprint Sep 2026

Maximum Matching Size for Bounded Arboricity Graphs in the Dynamic Graph Stream Model using $\tilde{O}(n^{2/3})$ space

The paper presents a one-pass algorithm in the insert-delete graph stream model that returns a $(1+\varepsilon)(\alpha+2)$-approximation for the size of the maximum matching in a graph of arboricity at most $\alpha$. The algorithm uses $O(\varepsilon^{-4/3}\alpha^{4/3}n^{2/3} \text{polylog} n)$ space. For constant $\al...

A. Mcgregor · 0 citations
Preprint Aug 2026

Matchings via Random Greedy Independent Set: A Simpler Algorithm and Analysis

In contrast to the previous work, this analysis avoids consideration of fractional matchings and yields a significantly shorter and more direct proof of the approximation factor for the basic algorithm.

A. Mcgregor · 0 citations

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