Fast Distributed Algorithms for Girth, Cycles and Small Subgraphs
Keren Censor-Hillel, Orr Fischer, Tzlil Gonen, Fran\c{c}ois Le Gall,, Dean Leitersdorf, Rotem Oshman

TL;DR
This paper introduces fast distributed algorithms for detecting small subgraphs and computing girth, significantly improving efficiency and providing new techniques for exact and approximate solutions in various distributed graph models.
Contribution
It presents novel algorithms with polynomial improvements for girth and subgraph detection, including the first constant-time approximation in the Congested Clique and a new deterministic listing technique.
Findings
Constant-time +1 girth approximation in Congested Clique
Deterministic subgraph listing via partition tree technique
Polynomially faster girth computation in triangle-free graphs
Abstract
In this paper we give fast distributed graph algorithms for detecting and listing small subgraphs, and for computing or approximating the girth. Our algorithms improve upon the state of the art by polynomial factors, and for girth, we obtain an constant-time algorithm for additive +1 approximation in the Congested Clique, and the first parametrized algorithm for exact computation in CONGEST. In the Congested Clique, we develop a technique for learning small neighborhoods, and apply it to obtain an -round algorithm that computes the girth with only an additive +1 error. Next, we introduce a new technique (the partition tree technique) allowing for efficiently and deterministically listing all copies of any subgraph, improving upon the state-of the-art for non-dense graphs. We give two applications of this technique: First we show that for constant , -detection can be…
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