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arXiv · 2506.05023

Compressing Hypergraphs using Suffix Sorting

Enno Adler·Stefan Böttcher·Rita Hartel
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Abstract

Hypergraphs model complex, non-binary relationships like co-authorships, social group memberships, and recommendations. Like traditional graphs, hypergraphs can grow large, posing challenges for storage, transmission, and query performance. We propose HyperCSA, a novel compression method for hypergraphs that maintains support for standard queries over the succinct representation. HyperCSA achieves compression ratios of 26% to 79% of the original file size on real-world hypergraphs - outperforming existing methods on all large hypergraphs in our experiments. Additionally, HyperCSA scales to larger datasets than existing approaches. Furthermore, for common real-world hypergraphs, HyperCSA evaluates neighbor queries 6 to 40 times faster than both standard data structures and other hypergraph compression approaches.

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Enno Adler, Stefan Böttcher, Rita Hartel. 2025-06-05. Compressing Hypergraphs using Suffix Sorting. https://arxiv.org/abs/2506.05023

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