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Possibilities and Impossibilities for Distributed Subgraph Detection

Published: 11 July 2018 Publication History

Abstract

In the distributed subgraph detection problem, we are given a fixed subgraph H, and the network must decide whether the network graph contains a copy of H or not. Subgraph detection can be solved in a constant number of rounds if message size is unbounded, but in the CONGEST model, where each message has bounded size, it can have high round complexity. Distributed subgraph detection has received significant attention recently, with new upper and lower bounds, but several fundamental questions remain open. In this paper we prove new possibility and impossibility results for subgraph detection in the CONGEST model. We show for the first time that some subgraphs require superlinear --- in fact, nearly quadratic --- running time, even in small-diameter networks. We also study cycle-detection, and show that any even cycle can be detected in sublinear time (in contrast to odd cycles, which require linear time). For the special case of triangle-detection, we show that deterministic algorithms require $Ømega(łog n)$ total communication even in graphs of degree 2, and that one-round randomized algorithms must send $Ømega(Δ)$ bits in graphs of degree Δ, improving on the recent results of [Abboud et. al.]. Finally, we extend a recent lower bound of [Izumi, Le Gall] on listing all triangles to cliques of any size.

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cover image ACM Conferences
SPAA '18: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures
July 2018
437 pages
ISBN:9781450357999
DOI:10.1145/3210377
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Published: 11 July 2018

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Author Tags

  1. congest
  2. distributed algorithms
  3. lower bounds and information theory
  4. subgraph detection

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SPAA '18 Paper Acceptance Rate 36 of 120 submissions, 30%;
Overall Acceptance Rate 447 of 1,461 submissions, 31%

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  • (2024)Deterministic Expander Routing: Faster and More VersatileProceedings of the 43rd ACM Symposium on Principles of Distributed Computing10.1145/3662158.3662797(194-204)Online publication date: 17-Jun-2024
  • (2024)Deterministic near-optimal distributed listing of cliquesDistributed Computing10.1007/s00446-024-00470-837:4(363-385)Online publication date: 1-Dec-2024
  • (2024)On Distributed Computation of the Minimum Triangle Edge TransversalStructural Information and Communication Complexity10.1007/978-3-031-60603-8_19(336-358)Online publication date: 27-May-2024
  • (2023)A note on improved results for one round distributed clique listingInformation Processing Letters10.1016/j.ipl.2022.106355181(106355)Online publication date: Mar-2023
  • (2023)On the Power of Threshold-Based Algorithms for Detecting Cycles in the CONGEST ModelStructural Information and Communication Complexity10.1007/978-3-031-32733-9_20(459-481)Online publication date: 25-May-2023
  • (2021)Tight distributed listing of cliquesProceedings of the Thirty-Second Annual ACM-SIAM Symposium on Discrete Algorithms10.5555/3458064.3458235(2878-2891)Online publication date: 10-Jan-2021
  • (2021)Near-optimal Distributed Triangle Enumeration via Expander DecompositionsJournal of the ACM10.1145/344633068:3(1-36)Online publication date: 13-May-2021
  • (2021)Finding Subgraphs in Highly Dynamic NetworksProceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures10.1145/3409964.3461788(140-150)Online publication date: 6-Jul-2021
  • (2021)Sublinear-time distributed algorithms for detecting small cliques and even cyclesDistributed Computing10.1007/s00446-021-00409-335:3(207-234)Online publication date: 26-Nov-2021
  • (2020)Distributed Approximation on Power GraphsProceedings of the 39th Symposium on Principles of Distributed Computing10.1145/3382734.3405750(501-510)Online publication date: 31-Jul-2020
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