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)
Incoming Non-self Citations Over Time
Authors
- 1. Alin Deutsch (TigerGraph; University of California San Diego)
- 2. Yu Xu (TigerGraph)
- 3. Mingxi Wu (TigerGraph)
- 4. Victor E. Lee (TigerGraph)
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}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
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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