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Graphsurge: Graph Analytics on View Collections Using Differential Computation

Summary: Graphsurge is an open-source system for graph analytics over view collections, using GVDL to define views and a Differential Dataflow API for incremental analytics. It formalizes the collection ordering problem (NP-hard) with a constant-factor approximation and proposes adaptive view-splitting to mix differential vs full recomputation, backed by experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6179
Venue
SIGMOD
Year
2021
Pagerank
5.3611079e-05
Overall Rank
8,830 | 39.42%
DOI
10.1145/3448016.3452837

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sahu_sigmod21,
        title = {{Graphsurge: Graph Analytics on View Collections Using Differential Computation}},
        author = {Sahu, Siddhartha and Salihoglu, Semih},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452837},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452837},
        year = {2021}
}

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