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Randomized communication and implicit graph representations

Conference Paper Session 7A Algorithms and Complexity ยท Theoretical Computer Science

Abstract

The most basic lower-bound question in randomized communication complexity is: Does a given problem have constant cost, or non-constant cost? We observe that this question has a deep connection to implicit graph representations in structural graph theory. Specifically, constant-cost communication problems correspond to hereditary graph families that admit constant-size adjacency sketches, or equivalently constant-size probabilistic universal graphs (PUGs), and these graph families are a subset of families that admit adjacency labeling schemes of size O (log n ), which are the subject of the well-studied implicit graph question (IGQ).

Authors

Keywords

  • adjacency labeling scheme
  • implicit graph conjecture
  • randomized communication protocols

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
827219810052027814
v2026.09.13