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
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