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Optimal query complexity bounds for finding graphs

Conference Paper 16B Algorithms and Complexity ยท Theoretical Computer Science

Abstract

We consider the problem of finding an unknown graph by using two types of queries with an additive property. Given a graph, an additive query asks the number of edges in a set of vertices while a cross-additive query asks the number of edges crossing between two disjoint sets of vertices. The queries ask sum of weights for the weighted graphs. These types of queries were partially motivated in DNA shotgun sequencing and linkage discovery problem of artificial intelligence.

Authors

Keywords

  • coin weighing problem
  • combinatorial group testing
  • combinatorial search
  • fourier coefficient
  • graph finding
  • littlewood-offord theorem
  • pseudo-boolean function

Context

Venue
ACM Symposium on Theory of Computing
Archive span
1969-2025
Indexed papers
4364
Paper id
806007562678995882
v2026.09.13