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
Link To Document :
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