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QuickFOIL: Scalable Inductive Logic Programming

Summary: QuickFOIL: scalable ILP for learning first-order rules from relational data. Novel scoring and aggressive pruning enable large-scale ILP; in-RDBMS implementation tackles query processing and delivers orders-of-magnitude efficiency on hundreds of millions of tuples. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11283
Venue
VLDB
Year
2015
Pagerank
6.8431849e-05
Overall Rank
4,190 | 71.26%
DOI
10.14778/2735508.2735513

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zeng_vldb15,
        title = {{QuickFOIL: Scalable Inductive Logic Programming}},
        author = {Zeng, Qiang and Patel, Jignesh M. and Page, David},
        journal = {PVLDB},
        series = {{VLDB} '15},
        volume = {8},
        number = {3},
        pages = {197--208},
        doi = {10.14778/2735508.2735513},
        url = {https://doi.org/10.14778/2735508.2735513},
        year = {2015}
}

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