RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage
Summary: RadixGraph: dynamic graph storage with a space-efficient radix-tree vertex index and a hybrid snapshot-log edge layout. Targets amortized O(1) updates, sustaining millions of concurrent updates/sec while cutting memory ~40% and beating the best baseline up to 16.27x on ingest. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Haoxuan Xie (Nanyang Technological University)
- 2. Junfeng Liu (Nanyang Technological University)
- 3. Siqiang Luo (Nanyang Technological University)
- 4. Kai Wang (Harbin Engineering University)
BibTeX Citation
@inproceedings{xie_sigmod26,
title = {{RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage}},
author = {Xie, Haoxuan and Liu, Junfeng and Luo, Siqiang and Wang, Kai},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786686},
url = {https://dl.acm.org/doi/10.1145/3786686},
year = {2026}
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