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» Testing subgraphs in large graphs
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STACS
2010
Springer
15 years 6 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»
15 years 5 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»
16 years 17 days 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»
15 years 11 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»
14 years 11 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...