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GraphGen: Exploring Interesting Graphs in Relational Data

Summary: GraphGen enables declarative graph extraction from relational data, with visual exploration and graph algorithms runnable via NetworkX. By co-optimizing extraction and analytics, it uncovers implicit graphs without data export, enabling end-to-end graph analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11299
Venue
VLDB
Year
2015
Pagerank
6.4187713e-05
Overall Rank
4,973 | 65.89%
DOI
10.14778/2824032.2824129

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{xirogiannopoulos_vldb15,
        title = {{GraphGen: Exploring Interesting Graphs in Relational Data}},
        author = {Xirogiannopoulos, Konstantinos and Khurana, Udayan and Deshpande, Amol},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {12},
        pages = {2032--2035},
        doi = {10.14778/2824032.2824129},
        url = {https://doi.org/10.14778/2824032.2824129},
        year = {2015}
}

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