GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes
Summary: GraphAr is a Parquet-compatible storage layout that captures LPG semantics and reorganizes/encodes vertices, edges, labels and properties to enable graph-native access patterns (neighbor retrieval, label filtering) inside data lakes. It yields massive speedups versus vanilla Parquet/Acero (e.g., 4452× neighbor, 14.8× label filtering, 29.5× end-to-end). (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Xue Li (Alibaba)
- 2. Weibin Zeng (Alibaba)
- 3. Zhibin Wang (Nanjing University)
- 4. Diwen Zhu (Alibaba)
- 5. Jingbo Xu (Alibaba)
- 6. Wenyuan Yu (Alibaba)
- 7. Jingren Zhou (Alibaba)
BibTeX Citation
@article{li_vldb25,
title = {{GraphAr: An Efficient Storage Scheme for Graph Data in Data Lakes}},
author = {Li, Xue and Zeng, Weibin and Wang, Zhibin and Zhu, Diwen and Xu, Jingbo and Yu, Wenyuan and Zhou, Jingren},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {3},
pages = {530--543},
doi = {10.14778/3712221.3712223},
url = {https://doi.org/10.14778/3712221.3712223},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,313 | Sectric: Towards Accurate, Privacy-preserving and Efficient Triangle Counting | 2025 | VLDB | 4.9793485e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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