• DocumentCode
    2370314
  • Title

    Parallel graph isomorphism detection with identification matrices

  • Author

    Chen, Lin

  • Author_Institution
    Fundamental Res. Lab., Los Angeles, CA, USA
  • fYear
    1994
  • fDate
    14-16 Dec 1994
  • Firstpage
    105
  • Lastpage
    112
  • Abstract
    In this paper, we investigate some properties of identification matrices and exhibit some uses of identification matrices in studying the graph isomorphism problem, a well-known long-standing open problem. We show that, given two m×n identification matrices representing two graphs according to a certain relation, isomorphism can be decided efficiently in parallel if an m×(n-c) submatrix, for a constant c, satisfies the consecutive/circular 1´s property. The result presented here significantly broadens the class of graphs for which there are known efficient parallel isomorphism testing algorithms
  • Keywords
    graph theory; matrix algebra; parallel algorithms; graph isomorphism detection; identification matrices; isomorphism detection; parallel isomorphism testing; Computational modeling; Joining processes; Laboratories; Parallel architectures; Phase change random access memory; Testing; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Architectures, Algorithms and Networks, 1994. (ISPAN), International Symposium on
  • Conference_Location
    Kanazawa
  • Print_ISBN
    0-8186-6507-6
  • Type

    conf

  • DOI
    10.1109/ISPAN.1994.367158
  • Filename
    367158