In recent years, significant advances have been made in the design and evaluation of balanced (hyper)graph partitioning algorithms. We survey trends of the last decade in practical algorithms for balanced (hyper)graph partitioning together with future research directions. Our work serves as an update to a previous survey on the topic. In particular, the survey extends the previous survey by also covering hypergraph partitioning and streaming algorithms, and has an additional focus on parallel algorithms.
@article{arxiv.2205.13202,
title = {More Recent Advances in (Hyper)Graph Partitioning},
author = {Ümit V. Çatalyürek and Karen D. Devine and Marcelo Fonseca Faraj and Lars Gottesbüren and Tobias Heuer and Henning Meyerhenke and Peter Sanders and Sebastian Schlag and Christian Schulz and Daniel Seemaier and Dorothea Wagner},
journal= {arXiv preprint arXiv:2205.13202},
year = {2022}
}