An introduction to metabolic networks and their structural analysis
There has been a renewed interest for metabolism in the computational biology community,
leading to an avalanche of papers coming from methodological network analysis as well as …
leading to an avalanche of papers coming from methodological network analysis as well as …
Motif discovery in networks: A survey
Motifs are regarded as network blocks because motifs can be used to present fundamental
patterns in networks. Motif discovery is well applied in various scientific problems, including …
patterns in networks. Motif discovery is well applied in various scientific problems, including …
[图书][B] Fundamentals of parameterized complexity
RG Downey, MR Fellows - 2013 - Springer
Parameterized complexity/multivariate complexity algorithmics is an exciting field of modern
algorithm design and analysis, with a broad range of theoretical and practical aspects that …
algorithm design and analysis, with a broad range of theoretical and practical aspects that …
Overlapping stochastic block models with application to the french political blogosphere
P Latouche, E Birmelé, C Ambroise - 2011 - projecteuclid.org
Overlapping stochastic block models with application to the French political blogosphere Page
1 The Annals of Applied Statistics 2011, Vol. 5, No. 1, 309–336 DOI: 10.1214/10-AOAS382 © …
1 The Annals of Applied Statistics 2011, Vol. 5, No. 1, 309–336 DOI: 10.1214/10-AOAS382 © …
Variational Bayesian inference and complexity control for stochastic block models
P Latouche, E Birmele, C Ambroise - Statistical Modelling, 2012 - journals.sagepub.com
It is now widely accepted that knowledge can be acquired from networks by clustering their
vertices according to the connection profiles. Many methods have been proposed and in this …
vertices according to the connection profiles. Many methods have been proposed and in this …
Model selection and clustering in stochastic block models based on the exact integrated complete data likelihood
E Côme, P Latouche - Statistical Modelling, 2015 - journals.sagepub.com
The stochastic block model (SBM) is a mixture model for the clustering of nodes in networks.
The SBM has now been employed for more than a decade to analyze very different types of …
The SBM has now been employed for more than a decade to analyze very different types of …
A new similarity measure for link prediction based on local structures in social networks
F Aghabozorgi, MR Khayyambashi - Physica A: Statistical Mechanics and …, 2018 - Elsevier
Link prediction is a fundamental problem in social network analysis. There exist a variety of
techniques for link prediction which applies the similarity measures to estimate proximity of …
techniques for link prediction which applies the similarity measures to estimate proximity of …
Introducing VF3: A new algorithm for subgraph isomorphism
Several graph-based applications require to detect and locate occurrences of a pattern
graph within a larger target graph. Subgraph isomorphism is a widely adopted formalization …
graph within a larger target graph. Subgraph isomorphism is a widely adopted formalization …
Cascading machine learning to attack bitcoin anonymity
Bitcoin is a decentralized, pseudonymous cryptocurrency that is one of the most used digital
assets to date. Its unregulated nature and inherent anonymity of users have led to a dramatic …
assets to date. Its unregulated nature and inherent anonymity of users have led to a dramatic …
G-tries: a data structure for storing and finding subgraphs
The ability to find and count subgraphs of a given network is an important non trivial task
with multidisciplinary applicability. Discovering network motifs or computing graphlet …
with multidisciplinary applicability. Discovering network motifs or computing graphlet …