Results 21 to 30 of about 35,359 (261)
A distance metric between directed weighted graphs [PDF]
Directed weighted graphs are increasingly used to model complex systems and interactions, such as networks of interconnected physical or biological subsystems. The analysis of these graphs often requires some form of dissimilarity, or distance measure to compare graphs.
Yunwen Xu, +2 more
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On the Eigenvalues of Weighted Directed Graphs [PDF]
This paper deals with spectral graph theory issues related to questions of monotonicity and comparison of eigenvalues. We consider finite directed graphs with non symmetric edge weights and we introduce a special self-adjoint operator as the sum of two non self-adjoint Laplacians.
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Bapat, R.B., Kalita, D., Pati, S.
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Community mining on dynamic weighted directed graphs [PDF]
This paper focuses on community mining including community discovery and change-point detection on dynamic weighted directed graphs(DWDG). Real networks such as e-mail, co-author and financial networks can be modeled as DWDG. Community mining on DWDG has not been studied thoroughly, although that on static(or dynamic undirected unweighted)graphs has ...
Dongsheng Duan +3 more
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Directional graph weight prediction for image compression [PDF]
Graph-based models have recently attracted attention for their potential to enhance transform coding image compression thanks to their capability to efficiently represent discontinuities. Graph transform gets closer to the optimal KLT by using weights that represent inter-pixel correlations but the extra cost to provide such weights can overwhelm the ...
Francesco Verdoja, Marco Grangetto
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Nonlinear Merging Consensus for Multi-Agent Systems on Directed and Weighted Signed Graph
This paper settles the nonlinear merging consensus for multi-agent systems on a directed and weighted signed network. A novel nonlinear merging control protocol is proposed to drive the states of all agents to arrive at the same state.
Shasha Feng +3 more
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Topological orderings of weighted directed acyclic graphs [PDF]
Included an addendum remarking on an independent proof of one of our main theorems; added references; corrected ...
Dániel Gerbner +3 more
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Many graph mining tasks can be viewed as classification problems on high dimensional data. Within this class we consider the issue of discovering core-periphery structure, which has wide applications in the economic and social sciences.
Francesco Tudisco, Desmond J. Higham
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Graph theory applications in congenital heart disease
Graph theory can be used to address problems with complex network structures. Congenital heart diseases (CHDs) involve complex abnormal connections between chambers, vessels, and organs.
Yao-Ting Lee, Shyh-Jye Chen
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Recognizing weighted directed cartesian graph bundles
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zmazek, Blaž, Žerovnik, Janez
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