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Simple and Efficient Graph Compression Schemes for Dense and Complement Graphs

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Listed:
  • Ming-Yang Kao

    (Yale University)

  • Neill Occhiogrosso

    (Duke University)

  • Shang-Hua Teng

    (University of Illinois at Urbana-Champaign
    University of Minnesota)

Abstract

We present two graph compression schemes for solving problems on dense graphs and complement graphs. They compress a graph or its complement graph into two kinds of succinct representations based on adjacency intervals and adjacency integers, respectively. These two schemes complement each other for different ranges of density. Using these schemes, we develop optimal or near optimal algorithms for fundamental graph problems. In contrast to previous graph compression schemes, ours are simple and efficient for practical applications.

Suggested Citation

  • Ming-Yang Kao & Neill Occhiogrosso & Shang-Hua Teng, 1998. "Simple and Efficient Graph Compression Schemes for Dense and Complement Graphs," Journal of Combinatorial Optimization, Springer, vol. 2(4), pages 351-359, December.
  • Handle: RePEc:spr:jcomop:v:2:y:1998:i:4:d:10.1023_a:1009720402326
    DOI: 10.1023/A:1009720402326
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    References listed on IDEAS

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    1. Ming-Yang Kao, 1997. "Efficient Detection and Protection of Information in Cross Tabulated Tables II: Minimal Linear Invariants," Journal of Combinatorial Optimization, Springer, vol. 1(2), pages 187-202, June.
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