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STOC
2000
ACM
112views Algorithms» more  STOC 2000»
13 years 12 months ago
A random graph model for massive graphs
We propose a random graph model which is a special case of sparse random graphs with given degree sequences. This model involves only a small number of parameters, called logsize ...
William Aiello, Fan R. K. Chung, Linyuan Lu
BIRTHDAY
2008
Springer
13 years 9 months ago
Graph Transformation Units - An Overview
In this paper, we give an overview of the framework of graph transformation units which provides syntactic and semantic means for analyzing, modeling, and structuring all kinds of ...
Hans-Jörg Kreowski, Sabine Kuske, Grzegorz Ro...
BIBE
2009
IEEE
252views Bioinformatics» more  BIBE 2009»
14 years 2 months ago
Multi-Agents System to Model Cell Signalling by Using Fuzzy Cognitive Maps. Application to Computer Simulation of Multiple Myelo
—In order to simulate biological processes, we use multi-agents system. However, modelling cell behavior in systems biology is complex and may be based on intracellular biochemic...
Vincent Rodin, Gabriel Querrec, Pascal Ballet, Fra...
STACS
2010
Springer
14 years 2 months ago
The Recognition of Tolerance and Bounded Tolerance Graphs
Tolerance graphs model interval relations in such a way that intervals can tolerate a certain degree of overlap without being in conflict. This subclass of perfect graphs has bee...
George B. Mertzios, Ignasi Sau, Shmuel Zaks