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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)

Paper ID
hf96d167bb1585e88
Venue
SIGMOD
Year
2017
Pagerank
0.00012322402
Overall Rank
1,045 | 92.98%
DOI
10.1145/3035918.3056445

Incoming Non-self Citations Over Time

Authors

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}
}

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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
39 Efficiently Updating Materialized Views 1986 SIGMOD 0.00046602544
62 Maintaining Views Incrementally 1993 SIGMOD 0.00039045511
1,873 Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs 2014 VLDB 9.4579851e-05
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