• DocumentCode
    3083235
  • Title

    ACE: a fast multiscale eigenvectors computation for drawing huge graphs

  • Author

    Koren, Yehuda ; Carmel, Liran ; Harel, David

  • Author_Institution
    Dept. of Comput. Sci. & Appl. Math., Weizmann Inst. of Sci., Rehovot, Israel
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    137
  • Lastpage
    144
  • Abstract
    We present an extremely fast graph drawing algorithm for very large graphs, which we term ACE (for Algebraic multigrid Computation of Eigenvectors). ACE exhibits an improvement of something like two orders of magnitude over the fastest algorithms we are aware of; it draws graphs of millions of nodes in less than a minute. ACE finds an optimal drawing by minimizing a quadratic energy function. The minimization problem is expressed as a generalized eigenvalue problem, which is rapidly solved using a novel algebraic multigrid technique. The same generalized eigenvalue problem seems to come up also in other fields, hence ACE appears to be applicable outside of graph drawing too.
  • Keywords
    data visualisation; eigenvalues and eigenfunctions; interpolation; minimisation; ACE; algebraic multigrid computation of eigenvectors; algebraic multigrid technique; eigenvalue problem; fast multiscale eigenvectors computation; graph drawing algorithm; quadratic energy function; Clustering algorithms; Computer science; Data visualization; Eigenvalues and eigenfunctions; Image segmentation; Joining processes; Laplace equations; Mathematics; Minimization methods; Partitioning algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualization, 2002. INFOVIS 2002. IEEE Symposium on
  • ISSN
    1522-404X
  • Print_ISBN
    0-7695-1751-X
  • Type

    conf

  • DOI
    10.1109/INFVIS.2002.1173159
  • Filename
    1173159