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» A New Algorithm for Multi-objective Graph Partitioning
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IPPS
1999
IEEE
13 years 9 months ago
A Graph Based Method for Generating the Fiedler Vector of Irregular Problems
In this paper we present new algorithms for spectral graph partitioning. Previously, the best partitioning methods were based on a combination of Combinatorial algorithms and appli...
Michael Holzrichter, Suely Oliveira
ALGOSENSORS
2006
Springer
13 years 9 months ago
A Flexible Algorithm for Sensor Network Partitioning and Self-partitioning Problems
Abstract. Motivated by the need for agent classification in sensor networking and autonomous vehicle control applications, we propose a flexible and distributed stochastic automato...
Sandip Roy, Yan Wan, Ali Saberi
ICALP
2007
Springer
13 years 11 months ago
Quasi-randomness and Algorithmic Regularity for Graphs with General Degree Distributions
Abstract. We deal with two intimately related subjects: quasi-randomness and regular partitions. The purpose of the concept of quasi-randomness is to measure how much a given graph...
Noga Alon, Amin Coja-Oghlan, Hiêp Hàn...
IPPS
2000
IEEE
13 years 9 months ago
A Multilevel Algorithm for Spectral Partitioning with Extended Eigen-Models
Parallel solution of irregular problems require solving the graph partitioning problem. The extended eigenproblem appears as the solution of some relaxed formulations of the graph ...
Suely Oliveira, Takako Soma
ADC
2008
Springer
110views Database» more  ADC 2008»
13 years 11 months ago
Graph Mining based on a Data Partitioning Approach
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Son N. Nguyen, Maria E. Orlowska, Xue Li