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Simulation-Based Graph Similarity
Departmental Papers (CIS)
  • Oleg Sokolsky, University of Pennsylvania
  • Sampath Kannan, University of Pennsylvania
  • Insup Lee, University of Pennsylvania
Date of this Version
Document Type
Conference Paper
Postprint version. Published in Lecture Notes in Computer Science, Volume 3920, Tools and Algorithms for the Construction and Analysis of Systems: Proceedings of 12th International Conference on Tools and Algorithms for the Construction and Analysis of Systems(TACAS 2006), pages 426-440.
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We present symmetric and asymmetric similarity measures for labeled directed rooted graphs that are inspired by the simulation and bisimulation relations on labeled transition systems. Computation of the similarity measures has close connections to discounted Markov decision processes in the asymmetric case and to perfect-information stochastic games in the symmetric case. For the symmetric case, we also give a polynomial-time algorithm that approximates the similarity to any desired precision.
Citation Information
Oleg Sokolsky, Sampath Kannan and Insup Lee. "Simulation-Based Graph Similarity" (2006)
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