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Optimizing Declarative Graph Queries at Large Scale

Summary: GraphRex provides a declarative, Datalog-like interface for large-scale graph queries and compiles them to efficient datacenter executables. It identifies and optimizes a core set of global operators, delivering orders-of-magnitude speedups over prior frameworks across diverse workloads and networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5657
Venue
SIGMOD
Year
2019
Pagerank
5.4548766e-05
Overall Rank
8,318 | 42.94%
DOI
10.1145/3299869.3300064

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod19,
        title = {{Optimizing Declarative Graph Queries at Large Scale}},
        author = {Zhang, Qizhen and Acharya, Akash and Chen, Hongzhi and Arora, Simran and Chen, Ang and Liu, Vincent and Loo, Boon Thau},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300064},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300064},
        year = {2019}
}

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