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» A Graph Theoretic Approach to Protein Structure Selection
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BMCBI
2005
120views more  BMCBI 2005»
13 years 8 months ago
SpectralNET - an application for spectral graph analysis and visualization
Background: Graph theory provides a computational framework for modeling a variety of datasets including those emerging from genomics, proteomics, and chemical genetics. Networks ...
Joshua J. Forman, Paul A. Clemons, Stuart L. Schre...
ACSC
2001
IEEE
14 years 9 days ago
Efficiency of Data Structures for Detecting Overlaps in Digital Documents
This paper analyses the efficiency of different data structures for detecting overlap in digital documents. Most existing approaches use some hash function to reduce the space req...
Krisztián Monostori, Arkady B. Zaslavsky, H...
KDD
2012
ACM
164views Data Mining» more  KDD 2012»
11 years 11 months ago
SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs
Blockmodelling is an important technique for decomposing graphs into sets of roles. Vertices playing the same role have similar patterns of interactions with vertices in other rol...
Jeffrey Chan, Wei Liu, Christopher Leckie, James B...
GG
2008
Springer
13 years 9 months ago
Transformation-Based Operationalization of Graph Languages
Graph Languages1 emerged during the seventies from the necessity to process data structures with complex interrelations. Nowadays, various variants of these languages can be found...
Erhard Weinell
ICIAP
2009
ACM
13 years 6 months ago
Tree Covering within a Graph Kernel Framework for Shape Classification
Abstract. Shape classification using graphs and skeletons usually involves edition processes in order to reduce the influence of structural noise. However, edition distances can no...
François-Xavier Dupé, Luc Brun