Adjacency matrix

Results: 403



#Item
211Matrices / Adjacency matrix / Random graph / Graph property / Minimum spanning tree / Incidence matrix / Mathematics / Graph theory / Algebraic graph theory

The Similarity between Stochastic Kronecker and Chung-Lu Graph Models

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Source URL: snap.stanford.edu

Language: English - Date: 2012-11-08 01:27:26
212Algebraic graph theory / Connectome / Graph / Adjacency matrix / Connectivity / Directed graph / Working memory / Visual analytics / Social network analysis software / Graph theory / Mathematics / Computational science

Weighted Graph Comparison Techniques for Brain Connectivity Analysis

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Source URL: research.microsoft.com

Language: English - Date: 2013-01-11 17:19:47
213Random graph / Graph / Line graph / Graph theory / Mathematics / Adjacency matrix

D OULION: Counting Triangles in Massive Graphs with a Coin Charalampos E. Tsourakakis, U Kang, Gary L. Miller, and Christos Faloutsos SCS, Carnegie Mellon University Pittsburgh, PA, USA

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Source URL: www.cis.temple.edu

Language: English - Date: 2009-07-10 10:36:42
214Alfred North Whitehead / Tensor product of graphs / Adjacency matrix / Graph / Random graph / Degree distribution / Kronecker product / Centrality / Graph theory / Mathematics / Algebraic graph theory

Journal of Machine Learning Research[removed]1042 Submitted 12/08; Revised 8/09; Published 2/10 Kronecker Graphs: An Approach to Modeling Networks Jure Leskovec

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Source URL: jmlr.csail.mit.edu

Language: English - Date: 2010-03-01 12:19:54
215Algebraic graph theory / Numerical linear algebra / Matrix theory / Adjacency matrix / Matrices / Eigenvalues and eigenvectors / Eigenvalue algorithm / Streaming algorithm / Lanczos algorithm / Algebra / Mathematics / Linear algebra

Fast counting of triangles in real-world networks: proofs, algorithms and observations Charalampos E. Tsourakakis May 2008 CMU-ML[removed]

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Source URL: reports-archive.adm.cs.cmu.edu

Language: English - Date: 2008-10-16 18:55:30
216Algebraic graph theory / Linear algebra / Matrix theory / Spectral clustering / Graph partition / Eigenvalues and eigenvectors / Laplacian matrix / Spectral graph theory / Adjacency matrix / Algebra / Mathematics / Graph theory

A Tutorial on Spectral Clustering arXiv:0711.0189v1 [cs.DS] 1 Nov 2007 Ulrike von Luxburg Max Planck Institute for Biological Cybernetics

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Source URL: arxiv.org

Language: English - Date: 2008-02-03 21:55:44
217Graph / Shortest path problem / Adjacency matrix / Combinatorial optimization / Optimization problem / Tree / Matching / Line graph / Graph theory / Mathematics / Theoretical computer science

Manuscript-after-submission.pdf

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Source URL: media.wiley.com

Language: English - Date: 2014-09-12 07:21:02
218Matrices / Matrix theory / Numerical linear algebra / Singular value decomposition / Matrix / Orthogonal matrix / Diagonal matrix / Logical matrix / Adjacency matrix / Algebra / Linear algebra / Mathematics

Reconstructing Graphs from Neighborhood Data D´ora Erd¨os Rainer Gemulla Evimaria Terzi

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Source URL: dws.informatik.uni-mannheim.de

Language: English - Date: 2014-09-29 11:40:16
219Algebra / Operations research / Real algebraic geometry / Convex optimization / Convex function / Semidefinite programming / Adjacency matrix / Convex cone / Matrix / Mathematical optimization / Mathematics / Convex analysis

Convex Optimization Methods for Graphs and Statistical Modeling by Venkat Chandrasekaran B.A. in Mathematics, B.S. in Electrical and Computer Engineering Rice University (2005)

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Source URL: users.cms.caltech.edu

Language: English - Date: 2012-02-01 13:45:54
220Adjacency matrix / Graph property / Convex function / Tree decomposition / Bipartite graph / Graph / Representation / Spectral graph theory / Algebraic graph theory / Graph theory / Mathematics / Graph operations

c 2012 Society for Industrial and Applied Mathematics  Downloaded[removed]to[removed]. Redistribution subject to SIAM license or copyright; see http://www.siam.org/journals/ojsa.php SIAM REVIEW

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Source URL: users.cms.caltech.edu

Language: English - Date: 2013-10-03 01:50:59
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