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» Spectral Techniques in Graph Algorithms
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ICML
2010
IEEE
15 years 2 months ago
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
Frank Lin, William W. Cohen
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
16 years 2 months ago
TALE: A Tool for Approximate Large Graph Matching
Abstract-- Large graph datasets are common in many emerging database applications, and most notably in large-scale scientific applications. To fully exploit the wealth of informati...
Yuanyuan Tian, Jignesh M. Patel
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 1 months ago
Probabilistic regular graphs
Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extensio...
Nathalie Bertrand, Christophe Morvan
CPC
2006
93views more  CPC 2006»
15 years 1 months ago
Generating Outerplanar Graphs Uniformly at Random
We show how to generate labeled and unlabeled outerplanar graphs with n vertices uniformly at random in polynomial time in n. To generate labeled outerplanar graphs, we present a c...
Manuel Bodirsky, Mihyun Kang
CORR
2008
Springer
153views Education» more  CORR 2008»
15 years 1 months ago
Decomposition Techniques for Subgraph Matching
In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For suc...
Stéphane Zampelli, Martin Mann, Yves Devill...