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On the path partition of graphs
Let \(G\) be a graph of order \(n\). The maximum and minimum degree of \(G\) are denoted by \(\Delta\) and \(\delta\), respectively. The path partition number \(\mu(G)\) of a graph \(G\) is the minimum number of paths needed to partition the vertices of \(G\).
Mekkia Kouider, Mohamed Zamime
openaire +2 more sources
Summary of Large-Scale Grapb Partitioning Algoritbms
The large-scale graph partitioning algorithms were summarized and graph computing models in the distributed environment were introduced. Firstly the large-scale static graph partitioning algorithms and the dynamic graph partitioning algorithms were ...
Jinfeng Xu +4 more
doaj +2 more sources
Hypergraph partitioning using tensor eigenvalue decomposition.
Hypergraphs have gained increasing attention in the machine learning community lately due to their superiority over graphs in capturing super-dyadic interactions among entities.
Deepak Maurya, Balaraman Ravindran
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Query-Sensitive Graph Partitioner for Pattern Matching Applications
Searching and mining in large graphs is critical to a variety of applications, at the core of which is the pattern matching activity. The scalable processing of large graphs requires careful distribution of graphs across clusters.
Li Lu, Bei Hua
doaj +1 more source
Enhanced adaptive partitioning in a distributed graph database
Nowadays, open-source graph databases do not include an inherent mechanism for data relocation that would be based on their usage. They often do not offer even appropriate monitoring that could help to make such a decision.
Lucie Svitáková +2 more
doaj +1 more source
Parallel Heuristics for Balanced Graph Partitioning Based on Richness of Implicit Knowledge
Balanced graph partitioning (BGP) has a wide range of applications that involve many large-scale distributed data processing problems. However, most of the existing approaches to parallel graph partitioning neglect the problem of the richness of implicit
Zhipeng Yang +2 more
doaj +1 more source
Finding planted partitions in random graphs with general degree distributions [PDF]
We consider the problem of recovering a planted partition such as a coloring, a small bisection, or a large cut in an (apart from that) random graph. In the last 30 years many algorithms for this problem have been developed that work provably well on ...
Coja-Oghlan, Amin, Lanka, André
core +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Efficient Large Graph Partitioning Scheme Using Incremental Processing in GPU
As the processing of large-scale graphs on a single device is infeasible without partitioning, graph partitioning algorithms are essential for various algorithms and distributed computing tasks utilizing graph data.
Hyeonbyeong Lee +8 more
doaj +1 more source
In a distributed environment, the volume of graph database increases quickly because graphs emerge from several autonomous sources. Sub-graph query processing is a challenging problem in distributed environment.
Shaik Fathimabi +2 more
doaj +1 more source

