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Query-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks

Summary: Introduces Query-by-Sketch (QbS) for exact shortest-path-graph queries on massive networks, using offline labels to guide online sketch. Proves correctness/complexity; 12 datasets (up to 1.7B vertices, 7.8B edges) yield microseconds on million-scale and sub-second on billion-scale. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6168
Venue
SIGMOD
Year
2021
Pagerank
6.0896788e-05
Overall Rank
5,784 | 60.32%
DOI
10.1145/3448016.3452826

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod21,
        title = {{Query-by-Sketch: Scaling Shortest Path Graph Queries on Very Large Networks}},
        author = {Wang, Ye and Wang, Qing and Koehler, Henning and Lin, Yu},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452826},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452826},
        year = {2021}
}

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