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Aggregation Support for Modern Graph Analytics in TigerGraph

Summary: Outlines GSQL's aggregation modeling for graph analytics, detailing expressive scope and evaluation trade-offs. Argues that these design choices generalize to future graph query standards and existing pattern-based declarative languages. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5966
Venue
SIGMOD
Year
2020
Pagerank
7.1903457e-05
Overall Rank
3,697 | 74.64%
DOI
10.1145/3318464.3386144

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{deutsch_sigmod20,
        title = {{Aggregation Support for Modern Graph Analytics in TigerGraph}},
        author = {Deutsch, Alin and Xu, Yu and Wu, Mingxi and Lee, Victor E.},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3386144},
        url = {https://dl.acm.org/doi/10.1145/3318464.3386144},
        year = {2020}
}

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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
900 G-CORE: A Core for Future Graph Query Languages 2018 SIGMOD 0.00013337186
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