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78
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GG
2008
Springer
15 years 1 months ago
Labelled (Hyper)Graphs, Negotiations and the Naming Problem
We consider four different models of process interactions that unify and generalise models introduced and studied by Angluin et al. [AAD+ 04] and models introduced and studied by ...
Jérémie Chalopin, Antoni W. Mazurkie...
80
Voted
IPL
2006
72views more  IPL 2006»
15 years 24 days ago
Cayley graphs as models of deterministic small-world networks
Many real networks, including those in social, technological, and biological realms, are small-world networks. The two distinguishing characteristics of small-world networks are h...
Wenjun Xiao, Behrooz Parhami
86
Voted
ENDM
2007
73views more  ENDM 2007»
15 years 24 days ago
Two New Classes of Hamiltonian Graphs: (Extended Abstract)
d Abstract) Esther M. Arkin 1 Applied Mathematics and Statistics Stony Brook University Stony Brook, USA Joseph S. B. Mitchell 2 Applied Mathematics and Statistics Stony Brook Univ...
Esther M. Arkin, Joseph S. B. Mitchell, Valentin P...
108
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization
In this paper, we present a model for unsupervised pattern discovery using non-negative matrix factorization (NMF) with graph regularization. Though the regularization can be appl...
Meng Sun, Hugo Van hamme
110
Voted
BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
15 years 7 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li