On Graph Representation with Smallest Numerical Encoding

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    The study of succinct representation of graphs has received relevant attention to allow efficiency in modeling interconnected systems. Related work on graph representation has achieved compact encodings by benefiting from structural regularities, such as triangularity, separability, planarity, symmetry and sparsity; whereas the case of arbitrary unstructured graphs has remained elusive. In this paper, we propose an scheme to represent arbitrary graphs by using the smallest integer number. We believe our approach is useful to represent graphs efficiently.

    Original languageEnglish
    Title of host publicationProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
    EditorsChung-Horng Lung, Thomas Conte, Ling Liu, Toyokazu Akiyama, Kamrul Hasan, Edmundo Tovar, Hiroki Takakura, William Claycomb, Stelvio Cimato, Ji-Jiang Yang, Zhiyong Zhang, Sheikh Iqbal Ahamed, Sorel Reisman, Claudio Demartini, Motonori Nakamura
    PublisherIEEE Computer Society
    Pages817-818
    Number of pages2
    Volume1
    ISBN (Electronic)9781538626665
    DOIs
    Publication statusPublished - 2018 Jun 8
    Event42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan
    Duration: 2018 Jul 232018 Jul 27

    Other

    Other42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
    CountryJapan
    CityTokyo
    Period18/7/2318/7/27

    Keywords

    • Encoding
    • Enumerative encoding
    • Graph representation
    • Graphs
    • Numerical representation
    • Representation

    ASJC Scopus subject areas

    • Software
    • Computer Science Applications

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  • Cite this

    Parque Tenorio, V., & Miyashita, T. (2018). On Graph Representation with Smallest Numerical Encoding. In C-H. Lung, T. Conte, L. Liu, T. Akiyama, K. Hasan, E. Tovar, H. Takakura, W. Claycomb, S. Cimato, J-J. Yang, Z. Zhang, S. I. Ahamed, S. Reisman, C. Demartini, & M. Nakamura (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (Vol. 1, pp. 817-818). [8377760] IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2018.00135