Listing 6-Cycles in Sparse Graphs

TL;DR

This paper presents a new algorithm for listing 6-cycles in sparse graphs with improved running time, extending previous methods and analyzing cycle counts using supersaturation lemmas.

Contribution

It introduces an $ ilde{O}(m^{1.6}+t)$ time algorithm for listing 6-cycles in sparse graphs, improving upon prior algorithms and providing new analytical techniques.

Findings

Achieved faster listing algorithm with $ ilde{O}(m^{1.6}+t)$ complexity.

Developed a supersaturation lemma relating cycle counts to bipartite graph structure.

Provided a simplified analysis of existing cycle detection algorithms.

Abstract

This work considers the problem of output-sensitive listing of occurrences of $2k$-cycles for fixed constant $k\geq 2$ in an undirected host graph with $m$ edges and $t$ $2k$-cycles. Recent work of Jin and Xu (and independently Abboud, Khoury, Leibowitz, and Safier) [STOC 2023] gives an $O(m^{4/3}+t)$ time algorithm for listing $4$-cycles, and recent work by Jin, Vassilevska Williams and Zhou [SOSA 2024] gives an $\widetilde{O}(n^2+t)$ time algorithm for listing $6$-cycles in $n$ node graphs. We focus on resolving the next natural question: obtaining listing algorithms for $6$-cycles in the sparse setting, i.e., in terms of $m$ rather than $n$. Previously, the best known result here is the better of Jin, Vassilevska Williams and Zhou's $\widetilde{O}(n^2+t)$ algorithm and Alon, Yuster and Zwick's $O(m^{5/3}+t)$ algorithm. We give an algorithm for listing $6$-cycles with running time $\widetilde{O}(m^{1.6}+t)$. Our algorithm is a natural extension of Dahlgaard, Knudsen and St\"ockel's [STOC 2017] algorithm for detecting a $2k$-cycle. Our main technical contribution is the analysis of the algorithm which involves a type of ``supersaturation'' lemma relating the number of $2k$-cycles in a bipartite graph to the sizes of the parts in the bipartition and the number of edges. We also give a simplified analysis of Dahlgaard, Knudsen and St\"ockel's $2k$-cycle detection algorithm (with a small polylogarithmic increase in the running time), which is helpful in analyzing our listing algorithm.