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» Implementing Huge Sparse Random Graphs
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APPROX
2007
Springer
100views Algorithms» more  APPROX 2007»
13 years 11 months ago
Implementing Huge Sparse Random Graphs
Consider a scenario where one desires to simulate the execution of some graph algorithm on random input graphs of huge, perhaps even exponential size. Sampling and storing these h...
Moni Naor, Asaf Nussboim
FOCS
2003
IEEE
13 years 10 months ago
On the Implementation of Huge Random Objects
We initiate a general study of pseudo-random implementations of huge random objects, and apply it to a few areas in which random objects occur naturally. For example, a random obj...
Oded Goldreich, Shafi Goldwasser, Asaf Nussboim
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
13 years 10 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
ICPP
2006
IEEE
13 years 10 months ago
Designing Multithreaded Algorithms for Breadth-First Search and st-connectivity on the Cray MTA-2
stractions are extensively used to understand and solve challenging computational problems in various scientific and engineering domains. They have particularly gained prominence...
David A. Bader, Kamesh Madduri
WEA
2005
Springer
98views Algorithms» more  WEA 2005»
13 years 10 months ago
Implementing Minimum Cycle Basis Algorithms
Abstract. In this paper we consider the problem of computing a minimum cycle basis of an undirected graph G = (V, E) with n vertices and m edges. We describe an efficient implement...
Kurt Mehlhorn, Dimitrios Michail