Graphflow: An Active Graph Database
Summary: Graphflow is an active graph DB for continuous subgraph queries, addressing inefficiency in passive systems. It provides Cypher++ (Neo4j-like) with subgraph-condition-action triggers and introduces Generic Join and Delta Generic Join as worst-case-optimal engines for one-time and continuous subgraph queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chathura Kankanamge (University of Waterloo)
- 2. Siddhartha Sahu (University of Waterloo)
- 3. Amine Mhedbhi (University of Waterloo)
- 4. Jeremy Chen (University of Waterloo)
- 5. Semih Salihoglu (University of Waterloo)
BibTeX Citation
@inproceedings{kankanamge_sigmod17,
title = {{Graphflow: An Active Graph Database}},
author = {Kankanamge, Chathura and Sahu, Siddhartha and Mhedbhi, Amine and Chen, Jeremy and Salihoglu, Semih},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3056445},
url = {https://dl.acm.org/doi/10.1145/3035918.3056445},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 54 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,749 | AJOSC: Adaptive Join Order Selection for Continuous Queries | 2025 | SIGMOD | 5.093636e-05 |
| 10,952 | Accelerating Subgraph Matching through Fine-grained and Powerful Equivalences | 2025 | VLDB | 5.093636e-05 |
| 11,087 | Towards Sufficient GPU-accelerated Dynamic Graph Management: Survey and Experiment | 2025 | VLDB | 5.093636e-05 |
| 11,859 | GraphWrangler: An Interactive Graph View on Relational Data | 2019 | SIGMOD | 5.093636e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 39 | Efficiently Updating Materialized Views | 1986 | SIGMOD | 0.00047309646 |
| 61 | Maintaining Views Incrementally | 1993 | SIGMOD | 0.00039026867 |
| 1,944 | Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs | 2014 | VLDB | 9.4354517e-05 |
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