Lynx: A Graph Query Framework for Multiple Heterogeneous Data Sources
Summary: Lynx provides a source-agnostic graph query framework over heterogeneous stores, avoiding costly data integration. It compiles complex graph queries into primitive navigation/exploration operations exposed through user-implemented interfaces, enabling reusable engine development. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Zhihong Shen (Computer Network Information Center, Chinese Academy of Sciences)
- 2. Chuan Hu (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
- 3. Zihao Zhao (Computer Network Information Center, Chinese Academy of Sciences; University of Chinese Academy of Sciences)
BibTeX Citation
@article{shen_vldb23,
title = {{Lynx: A Graph Query Framework for Multiple Heterogeneous Data Sources}},
author = {Shen, Zhihong and Hu, Chuan and Zhao, Zihao},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {3926--3929},
doi = {10.14778/3611540.3611587},
url = {https://doi.org/10.14778/3611540.3611587},
year = {2023}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 447 | Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources | 2018 | SIGMOD | 0.00018286067 |
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