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BYO: A Unified Framework for Benchmarking Large-Scale Graph Containers

Summary: BYO enables apples-to-apples benchmarking of 20+ graph containers across 10 large graphs and 10 optimized algorithms, isolating container effects from system confounders. Finds simple B-tree and minimal-API containers nearly match specialized designs, while also measuring dynamic batch-insert throughput. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h3797105ec235545f
Venue
VLDB
Year
2024
Pagerank
5.1729898e-05
Overall Rank
9,462 | 36.39%
DOI
10.14778/3665844.3665859

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wheatman_vldb24,
        title = {{BYO: A Unified Framework for Benchmarking Large-Scale Graph Containers}},
        author = {Wheatman, Brian and Dong, Xiaojun and Shen, Zheqi and Dhulipala, Laxman and Łącki, Jakub and Pandey, Prashant and Xu, Helen},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {9},
        pages = {2307--2320},
        doi = {10.14778/3665844.3665859},
        url = {https://doi.org/10.14778/3665844.3665859},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,638 Enabling Efficient Direct Update on Rule-Based Compressed Graph 2026 SIGMOD 4.9793485e-05
10,813 X-Wim: Massive Parallelization of Weighted Matching in Bipartite Graphs 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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