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» Algorithms for Large, Sparse Network Alignment Problems
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ICDM
2009
IEEE
121views Data Mining» more  ICDM 2009»
13 years 11 months ago
Algorithms for Large, Sparse Network Alignment Problems
Mohsen Bayati, Margot Gerritsen, David Gleich, Ami...
COMAD
2009
13 years 5 months ago
Large Maximal Cliques Enumeration in Large Sparse Graphs
Identifying communities in social networks is a problem of great interest. One popular type of community is where every member of the community knows all others, which can be view...
Natwar Modani, Kuntal Dey
TCS
2008
13 years 4 months ago
Main-memory triangle computations for very large (sparse (power-law)) graphs
Finding, counting and/or listing triangles (three vertices with three edges) in massive graphs are natural fundamental problems, which received recently much attention because of ...
Matthieu Latapy
CP
2003
Springer
13 years 10 months ago
A SAT-Based Approach to Multiple Sequence Alignment
Multiple sequence alignment is a central problem in Bioinformatics. A known integer programming approach is to apply branch-and-cut to exponentially large graph-theoretic models. T...
Steven David Prestwich, Desmond G. Higgins, Orla O...
ISNN
2004
Springer
13 years 10 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
Liefeng Bo, Ling Wang, Licheng Jiao