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» On Graph Complexity
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DAC
2006
ACM
16 years 4 months ago
Efficient simulation of critical synchronous dataflow graphs
Simulation and verification using electronic design automation (EDA) tools are key steps in the design process for communication and signal processing systems. The synchronous dat...
Chia-Jui Hsu, José Luis Pino, Ming-Yung Ko,...
CORR
2010
Springer
185views Education» more  CORR 2010»
15 years 3 months ago
Estimating and Sampling Graphs with Multidimensional Random Walks
Estimating characteristics of large graphs via sampling is a vital part of the study of complex networks. Current sampling methods such as (independent) random vertex and random w...
Bruno F. Ribeiro, Donald F. Towsley
CIKM
2010
Springer
14 years 10 months ago
Mining networks with shared items
Recent advances in data processing have enabled the generation of large and complex graphs. Many researchers have developed techniques to investigate informative structures within...
Jun Sese, Mio Seki, Mutsumi Fukuzaki
STOC
2003
ACM
188views Algorithms» more  STOC 2003»
16 years 3 months ago
Almost random graphs with simple hash functions
We describe a simple randomized construction for generating pairs of hash functions h1, h2 from a universe U to ranges V = [m] = {0, 1, . . . , m - 1} and W = [m] so that for ever...
Martin Dietzfelbinger, Philipp Woelfel
CORR
2010
Springer
142views Education» more  CORR 2010»
15 years 1 months ago
HyperANF: Approximating the Neighbourhood Function of Very Large Graphs on a Budget
The neighbourhood function NG(t) of a graph G gives, for each t ∈ N, the number of pairs of nodes x, y such that y is reachable from x in less that t hops. The neighbourhood fun...
Paolo Boldi, Marco Rosa, Sebastiano Vigna