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Visual Graph Query Construction and Refinement

Summary: Visage: first demonstration of interactive, visual graph query construction without coding. A data-driven, match-sampling workflow lets analysts iteratively refine subgraph queries with varying specificity on large networks (e.g., Rotten Tomatoes film-actor-director graph). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5414
Venue
SIGMOD
Year
2017
Pagerank
8.5886167e-05
Overall Rank
2,429 | 83.34%
DOI
10.1145/3035918.3056418

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pienta_sigmod17,
        title = {{Visual Graph Query Construction and Refinement}},
        author = {Pienta, Robert and Hohman, Fred and Tamersoy, Acar and Endert, Alex and Navathe, Shamkant and Tong, Hanghang and Chau, Duen Horng},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3056418},
        url = {https://dl.acm.org/doi/10.1145/3035918.3056418},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

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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
4,749 VOGUE: Towards A Visual Interaction-aware Graph Query Processing Framework 2013 CIDR 6.5250721e-05
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