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Beating Treewidth for Average-Case Subgraph Isomorphism

Authors: Gregory Rosenthal;

Beating Treewidth for Average-Case Subgraph Isomorphism

Abstract

For any fixed graph $G$, the subgraph isomorphism problem asks whether an $n$-vertex input graph has a subgraph isomorphic to $G$. A well-known algorithm of Alon, Yuster and Zwick (1995) efficiently reduces this to the "colored" version of the problem, denoted $G$-$\mathsf{SUB}$, and then solves $G$-$\mathsf{SUB}$ in time $O(n^{tw(G)+1})$ where $tw(G)$ is the treewidth of $G$. Marx (2010) conjectured that $G$-$\mathsf{SUB}$ requires time $��(n^{\mathrm{const}\cdot tw(G)})$ and, assuming the Exponential Time Hypothesis, proved a lower bound of $��(n^{\mathrm{const}\cdot emb(G)})$ for a certain graph parameter $emb(G) \ge ��(tw(G)/\log tw(G))$. With respect to the size of $\mathrm{AC}^0$ circuits solving $G$-$\mathsf{SUB}$ in the average case, Li, Razborov and Rossman (2017) proved (unconditional) upper and lower bounds of $O(n^{2��(G)+\mathrm{const}})$ and $��(n^{��(G)})$ for a different graph parameter $��(G) \ge ��(tw(G)/\log tw(G))$. Our contributions are as follows. First, we prove that $emb(G)$ is $O(��(G))$ for all graphs $G$. Next, we show that $��(G)$ can be asymptotically less than $tw(G)$; for example, if $G$ is a hypercube then $��(G)$ is $��\big(tw(G)\big/\sqrt{\log tw(G)}\big)$. This implies that the average-case complexity of $G$-$\mathsf{SUB}$ is $n^{o(tw(G))}$ when $G$ is a hypercube. Finally, we construct $\mathrm{AC}^0$ circuits of size $O(n^{��(G)+\mathrm{const}})$ that solve $G$-$\mathsf{SUB}$ in the average case, closing the gap between the upper and lower bounds of Li et al.

31 pages. International Symposium on Parameterized and Exact Computation (IPEC) 2019

Keywords

FOS: Computer and information sciences, average-case complexity, Discrete Mathematics (cs.DM), subgraph isomorphism, Computational Complexity (cs.CC), AC^0, circuit complexity, 004, Computer Science - Computational Complexity, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), Computer Science - Discrete Mathematics, ddc: ddc:004

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
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