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» Link Discovery in Graphs Derived from Biological Databases
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DASFAA
2007
IEEE
181views Database» more  DASFAA 2007»
13 years 10 months ago
Graph Structure of the Korea Web
The study of the Web graph not only yields valuable insight into Web algorithms for crawling, searching and community discovery, and the sociological phenomena that characterize it...
In Kyu Han, Sang Ho Lee, Soowon Lee
BMCBI
2006
164views more  BMCBI 2006»
13 years 4 months ago
BIOZON: a system for unification, management and analysis of heterogeneous biological data
Integration of heterogeneous data types is a challenging problem, especially in biology, where the number of databases and data types increase rapidly. Amongst the problems that o...
Aaron Birkland, Golan Yona
BMCBI
2006
182views more  BMCBI 2006»
13 years 4 months ago
A database and tool, IM Browser, for exploring and integrating emerging gene and protein interaction data for Drosophila
Background: Biological processes are mediated by networks of interacting genes and proteins. Efforts to map and understand these networks are resulting in the proliferation of int...
Svetlana Pacifico, Guozhen Liu, Stephen Guest, Jod...
SAC
2009
ACM
13 years 11 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
CEC
2007
IEEE
13 years 10 months ago
Graph design by graph grammar evolution
— Determining the optimal topology of a graph is pertinent to many domains, as graphs can be used to model a variety of systems. Evolutionary algorithms constitute a popular opti...
Martin H. Luerssen, David M. W. Powers