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HR-Index: An Effective Index Method for Historical Reachability Queries over Evolving Graphs

Summary: HR-Index encodes complete historical reachability for evolving graphs, letting historical queries be answered as static reachability on the index. Two optimizations shrink index size; experiments show order-of-magnitude speed/space gains vs. the state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6692
Venue
SIGMOD
Year
2023
Pagerank
5.31719e-05
Overall Rank
9,132 | 37.35%
DOI
10.1145/3589272

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yang_sigmod23,
        title = {{HR-Index: An Effective Index Method for Historical Reachability Queries over Evolving Graphs}},
        author = {Yang, Yajun and Li, Hanxiao and Zhu, Xiangju and Wang, Junhu and Wang, Xin and Gao, Hong},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3589272},
        url = {https://dl.acm.org/doi/10.1145/3589272},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,812 On More Efficiently and Versatilely Querying Historical k-Cores 2025 VLDB 5.3652966e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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