DRPQ: Distributed Evaluation of Regular Path Queries On Streaming Graphs
Summary: DRPQ introduces a distributed RPQ execution for streaming graphs by decomposing queries into initial-match-based partial tasks and dynamically load-balancing them across workers. A task-grouping heuristic co-locates tasks that share evaluation to reduce redundancy and nearly double throughput vs prior distributed streaming approaches. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Siyuan Zhang (Fudan University)
- 2. Kai Zhang (Fudan University)
- 3. Zhenying He (Fudan University)
- 4. Yinan Jing (Fudan University)
- 5. Zhigang Zhao (Fudan University)
- 6. X. Sean Wang (Fudan University)
BibTeX Citation
@inproceedings{zhang_sigmod26,
title = {{DRPQ: Distributed Evaluation of Regular Path Queries On Streaming Graphs}},
author = {Zhang, Siyuan and Zhang, Kai and He, Zhenying and Jing, Yinan and Zhao, Zhigang and Wang, X. Sean},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769782},
url = {https://dl.acm.org/doi/10.1145/3769782},
year = {2026}
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