Towards a Converged Relational-Graph Optimization Framework
Summary: RelGo: a converged relational-graph optimizer for SPJM queries (SQL/PGQ) that adds a graph-pattern matcher to SPJ. Shows graph-agnostic plans miss graph-specific gains; on DuckDB, RelGo yields ~21.9x speedups on standard benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yunkai Lou (Alibaba)
- 2. Longbin Lai (Alibaba)
- 3. Bingqing Lyu (Alibaba)
- 4. Yufan Yang (Alibaba)
- 5. Xiaoli Zhou (Alibaba)
- 6. Wenyuan Yu (Alibaba)
- 7. Ying Zhang (Zhejiang Gongshang University)
- 8. Jingren Zhou (Alibaba)
BibTeX Citation
@inproceedings{lou_sigmod24,
title = {{Towards a Converged Relational-Graph Optimization Framework}},
author = {Lou, Yunkai and Lai, Longbin and Lyu, Bingqing and Yang, Yufan and Zhou, Xiaoli and Yu, Wenyuan and Zhang, Ying and Zhou, Jingren},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698828},
url = {https://dl.acm.org/doi/10.1145/3698828},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,942 | A Modular Graph-Native Query Optimization Framework | 2025 | SIGMOD | 5.1915905e-05 |
| 9,996 | Path-centric Cardinality Estimation for Subgraph Matching | 2025 | VLDB | 5.1814573e-05 |
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