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» Testing subgraphs in large graphs
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STACS
2010
Springer
14 years 4 months ago
Evasiveness and the Distribution of Prime Numbers
Abstract. A Boolean function on N variables is called evasive if its decision-tree complexity is N. A sequence Bn of Boolean functions is eventually evasive if Bn is evasive for al...
László Babai, Anandam Banerjee, Ragh...
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
14 years 3 months ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
ICDE
2007
IEEE
103views Database» more  ICDE 2007»
14 years 10 months ago
A Semantic Approach to Discovering Schema Mapping Expressions
In many applications it is important to find a meaningful relationship between the schemas of a source and target database. This relationship is expressed in terms of declarative ...
Alexander Borgida, John Mylopoulos, Renée J...
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
14 years 9 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
BMCBI
2008
115views more  BMCBI 2008»
13 years 9 months ago
BioGraphE: high-performance bionetwork analysis using the Biological Graph Environment
Background: Graphs and networks are common analysis representations for biological systems. Many traditional graph algorithms such as k-clique, k-coloring, and subgraph matching h...
George Chin Jr., Daniel G. Chavarría-Mirand...