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» On Structural Analysis of Large Networks
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BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
15 years 1 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
SOCIALCOM
2010
14 years 9 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 4 months ago
A viewpoint-based approach for interaction graph analysis
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
Sitaram Asur, Srinivasan Parthasarathy
CSE
2009
IEEE
15 years 6 months ago
Inferring Unobservable Inter-community Links in Large Social Networks
Abstract—Social networks can be used to model social interactions between individuals. In many circumstances, not all interactions between individuals are observed. In such cases...
Heath Hohwald, Manuel Cebrián, Arturo Canal...
BC
2002
193views more  BC 2002»
14 years 11 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon