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)
Incoming Non-self Citations Over Time
Authors
- 1. Brian Wheatman (Johns Hopkins University)
- 2. Xiaojun Dong (University of California Riverside)
- 3. Zheqi Shen (University of California Riverside)
- 4. Laxman Dhulipala (University of Maryland)
- 5. Jakub Łącki (Google)
- 6. Prashant Pandey (University of Utah)
- 7. Helen Xu (Georgia Institute of Technology)
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 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,450 | Enabling Efficient Direct Update on Rule-Based Compressed Graph | 2026 | SIGMOD | 5.093636e-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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