Truss Decomposition in Hypergraphs
Summary: Introduces hypertruss decomposition, where each node participates in at least k hyper-triangles. Its key contribution is scalable hyper-triangle counting via hybrid edge/node iterators and prefix forests, with ordering optimizations for shared-node hypergraphs. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Hongchao Qin (Beijing Institute of Technology)
- 2. Guang Zeng (Ant Financial)
- 3. Rong-Hua Li (Beijing Institute of Technology)
- 4. Longlong Lin (Southwest University)
- 5. Ye Yuan (Beijing Institute of Technology)
- 6. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@article{qin_vldb25,
title = {{Truss Decomposition in Hypergraphs}},
author = {Qin, Hongchao and Zeng, Guang and Li, Rong-Hua and Lin, Longlong and Yuan, Ye and Wang, Guoren},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {7},
pages = {2185--2197},
doi = {10.14778/3734839.3734854},
url = {https://doi.org/10.14778/3734839.3734854},
year = {2025}
}
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