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Paper detail

More Recent Advances in (Hyper)Graph Partitioning

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.

preprint2022arXivOpen access
Ümit V. ÇatalyürekKaren D. DevineMarcelo Fonseca FarajLars GottesbürenTobias HeuerHenning MeyerhenkePeter SandersSebastian SchlagChristian SchulzDaniel SeemaierDorothea Wagner
Machine LearningData Structures and Algorithms
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Ümit V. ÇatalyürekKaren D. DevineMarcelo Fonseca FarajLars GottesbürenTobias HeuerHenning MeyerhenkePeter SandersSebastian SchlagChristian SchulzDaniel SeemaierDorothea Wagner

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