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World Wide Web

Core maintenance for hypergraph streams

  • 25-08-2023
Published in:
Authors
Qi Luo
Dongxiao Yu
Zhipeng Cai
Yanwei Zheng
Xiuzhen Cheng
Xuemin Lin
Published in
World Wide Web | Issue 5/2023

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Abstract

The article 'Core maintenance for hypergraph streams' delves into the complexities of modeling relationships in real-world data using hypergraphs, which extend conventional graphs by capturing multilateral interactions. Traditional graphs fail to adequately represent group features, making hypergraphs a more suitable model. The core maintenance problem in hypergraphs involves updating the coreness of vertices and hyperedges after insertions or deletions, which is computationally intensive. The article introduces the concept of Joint Hyperedge Set (JHS) to efficiently handle these updates in batch processing, significantly reducing the computational overhead. Additionally, the authors propose parallel algorithms to further enhance performance. The article presents extensive experiments on real-world datasets, demonstrating the efficiency, stability, and scalability of the proposed algorithms. It highlights the potential of hypergraphs in capturing complex relationships and the importance of developing efficient maintenance algorithms for dynamic hypergraphs.
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previous article Editor’s note: Special issue on Fairness-driven User Behavior Modelling and Analysis for Online Recommendation
Title
Core maintenance for hypergraph streams
Authors
Qi Luo
Dongxiao Yu
Zhipeng Cai
Yanwei Zheng
Xiuzhen Cheng
Xuemin Lin
Publication date
25-08-2023
Publisher
Springer US
Published in
World Wide Web / Issue 5/2023
Print ISSN: 1386-145X
Electronic ISSN: 1573-1413
DOI
https://doi.org/10.1007/s11280-023-01196-6
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