Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks. By partitioning complex graph ...

Abstract: In the paper we present evaluation of the PCJ (Parallel Computations in Java) library for graph problems, namely for the first kernel in Graph500 benchmark. PCJ is a library for parallel ...

Abstract: Using an exclusive-read and exclusive-write (EREW) parallel random-access memory (PRAM) model with a fixed number of processors, optimal parallel algorithms are presented for several ...

At the core of many algorithmic methods for processing sequencing data is the basic primitive of finding a set of paths or walks in graphs of various nature. Under different formulations and objective ...

A GNN-based architecture known as GraphSIM is presented by Bai et al. 68 to address the challenges of graph edit distance and maximum common sub-graph problems, in an end-to-end pipeline. A similar ...

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graph theory, and quantum probability in a unified manner, with significant emphasis on symbolic computations and an eye toward applications in computer science. Presented in this book are new methods ...