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» A Fast Multi-scale Method for Drawing Large Graphs
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ALENEX
2001
103views Algorithms» more  ALENEX 2001»
13 years 9 months ago
Travel Planning with Self-Made Maps
Speed-up techniques that exploit given node coordinates have proven useful for shortest-path computations in transportation networks and geographic information systems. To facilita...
Ulrik Brandes, Frank Schulz, Dorothea Wagner, Thom...
PAKDD
2010
ACM
117views Data Mining» more  PAKDD 2010»
14 years 8 days ago
BASSET: Scalable Gateway Finder in Large Graphs
Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to he...
Hanghang Tong, Spiros Papadimitriou, Christos Falo...
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
14 years 1 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
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 8 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
BCB
2010
166views Bioinformatics» more  BCB 2010»
13 years 2 months ago
Fast graph approaches to measure influenza transmission across geographically distributed host types
Recent advances in next generation sequencing are providing a number of large whole-genome sequence datasets stemming from globally distributed disease occurrences. This offers an...
Adrienne Breland, Karen Schlauch, Mehmet Hadi Gune...