Results 11 to 20 of about 36,227 (305)
DHPV: a distributed algorithm for large-scale graph partitioning [PDF]
Big graphs are part of the movement of “Not Only SQL” databases (also called NoSQL) focusing on the relationships between data, rather than the values themselves.
Wilfried Yves Hamilton Adoni +4 more
doaj +2 more sources
A social network graph partitioning algorithm based on double deep Q-Network [PDF]
With the rapid expansion of social networks, efficiently mining and analyzing massive graph data has become a fundamental challenge in social network research. Graph partitioning plays a pivotal role in enhancing the performance of such analyses. However,
Jie Cao +4 more
doaj +2 more sources
Dynamic Graph Partitioning Scheme for Supporting Load Balancing in Distributed Graph Environments
As dynamic graph data have been actively used, incremental graph partition schemes have been studied to efficiently store and manage large graphs. In this paper, we propose a vertex-cut based novel incremental graph partitioning scheme that supports load
Dojin Choi +5 more
doaj +3 more sources
RNA graph partitioning for the discovery of RNA modularity: a novel application of graph partition algorithm to biology. [PDF]
Graph representations have been widely used to analyze and design various economic, social, military, political, and biological networks. In systems biology, networks of cells and organs are useful for understanding disease and medical treatments and, in
Namhee Kim +3 more
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Graph partitioning: an updated survey
Graph partitioning problem, which is one of the most important topics in graph theory, usually asks for a partition of the vertex set of a graph into pairwise disjoint subsets with various requirements. It comes from the well-known Max-Cut Problem: Given
Shufei Wu, Jianfeng Hou
doaj +2 more sources
A Graph-based Benchmark dataset for Printed Circuit Netlist Partitioning [PDF]
As a critical component of electronic design automation and reverse engineering, printed circuit netlist partitioning has long been a significant research topic in this field.
Jie Yang +6 more
doaj +2 more sources
Heterogeneous Environment Aware Streaming Graph Partitioning
With the increasing availability of graph data and widely adopted cloud computing paradigm, graph partitioning has become an efficient pre-processing technique to balance the computing workload and cope with the large scale of input data.
Bin Cui, Zi Huang, Yingxia Shao
exaly +2 more sources
Multilevel graph partitioning: an evolutionary approach
The graph partitioning problem is defined as that of dividing the vertices of an undirected graph into a set of balanced parts through the removal of a set of edges, whose size is to be minimized.
Faruk Polat
exaly +2 more sources
Graph Computing Systems and Partitioning Techniques: A Survey
Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other application domains.
Tewodros Alemu Ayall +6 more
doaj +1 more source
Clique-partitioned graphs [PDF]
A graph $G$ of order $nv$ where $n\geq 2$ and $v\geq 2$ is said to be weakly $(n,v)$-clique-partitioned if its vertex set can be decomposed in a unique way into $n$ vertex-disjoint $v$-cliques. It is strongly $(n,v)$-clique-partitioned if in addition, the only $v$-cliques of $G$ are the $n$ cliques in the decomposition.
Grahame Erskine +2 more
openaire +3 more sources

