VC-dimensions for graphs (extended abstract)

  • Evangelos Kranakis
  • Danny Krizanc
  • Berthold Ruf
  • Jorge Urrutia
  • Gerhard J. Woeginger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1017)


We study set systems over the vertex set (or edge set) of some graph that are induced by special graph properties like clique, connectedness, path, star, tree, etc. We derive a variety of combinatorial and computational results on the VC (Vapnik-Chervonenkis) dimension of these set systems.

For most of these set systems (e.g. for the systems induced by trees, connected sets, or paths), computing the VC-dimension is an NP-hard problem. Moreover, determining the VC-dimension for set systems induced by neighborhoods of single vertices is complete for the class LogNP. In contrast to these intractability results, we show that the VC-dimension for set systems induced by stars is computable in polynomial time. For set systems induced by paths, we determine the extremal graphs G with the minimum number of edges such that VCp(G)≥k. Finally, we show a close relation between the VC-dimension of set systems induced by connected sets of vertices and the VC dimension of set systems induced by connected sets of edges; the argument is done via the line graph of the corresponding graph.


Polynomial Time Span Tree Line Graph Graph Property Extremal Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Evangelos Kranakis
    • 1
  • Danny Krizanc
    • 1
  • Berthold Ruf
    • 3
  • Jorge Urrutia
    • 2
  • Gerhard J. Woeginger
    • 4
  1. 1.School of Computer ScienceCarleton UniversityOttawaCanada
  2. 2.Department of Computer ScienceUniversity of OttawaOttawaCanada
  3. 3.Institute of Theoretical Computer ScienceTU GrazGrazAustria
  4. 4.Department of MathematicsTU GrazGrazAustria

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