Graph partitioning and bisection problems occupy a central position in combinatorial optimisation and theoretical computer science. These issues involve dividing a graph’s vertex set into ...

It also compresses data up to 10 times. TigerGraph also supports different graph partitioning algorithms enabling it to split very large graphs over a distributed architecture.

Computational results are given for approximately 300 graphs of various sizes (up to 40 vertices), and for various densities and types. The computational results show that the proposed algorithm is ...

QGraph enables SMEs and programmers to work with familiar graphs and functions, including graph partitioning, minimum clique cover, and community detection. After the graph is submitted to the ...

TigerGraph is designed to automatically partition the graph data across a cluster of servers, and still perform quickly. The hash index is used to determine not only the within-server data ...

One good approach dealing with this matter is applying graph partitioning techniques. Graph partitioning is an optimization problem with the aim of dividing a large geographical network into ...

We also relate the results to the Neyman-Pearson lemma in statistical hypothesis testing and to a graph partitioning problem of Barnes and Hoffman. OR professionals in every field of study will find ...

Alibaba uses graph partitioning, separate storage of attributes and caching neighbors of important vertices to overcome challenges for efficient graph access, especially in a distributed ...