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

Summary: Introduces BYO, the first unified framework to benchmark graph containers (not whole systems) by running 10 optimized algorithms across 20+ containers and 10 graphs, supporting dynamic updates and batch-insert measurements for apples-to-apples comparison. Finds container design impacts performance far less than expected—an off-the-shelf B-tree is only ~1.22x slower than a tuned static container and a minimal API costs ~1.16x—suggesting simpler, general-purpose containers are viable for large-scale graph analytics. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13460
Venue
VLDB
Year
2024
Pagerank
4.3109001e-05
Overall Rank
9,647 | 32.89%
DOI
10.14778/3665844.3665859

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Rank Citing Paper Year Venue Pagerank
10,161 Enabling Efficient Direct Update on Rule-Based Compressed Graph 2026 SIGMOD 4.1945683e-05
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