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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
h2d1339c8222d2827
Venue
VLDB
Year
2015
Pagerank
6.6905317e-05
Overall Rank
4,278 | 71.24%
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}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
2,137 Quickstep: A Data Platform Based on the Scaling-Up Approach 2018 VLDB 8.9777553e-05
7,875 Learning Over Dirty Data Without Cleaning 2020 SIGMOD 5.4355826e-05
8,151 Schema Independent Relational Learning 2017 SIGMOD 5.3899758e-05
10,235 Scalable and Usable Relational Learning With Automatic Language Bias 2021 SIGMOD 5.0547931e-05
10,653 InferF: Declarative Factorization of AI/ML Inferences over Joins 2026 SIGMOD 4.9793485e-05
11,578 Relational Query Synthesis ⋈ Decision Tree Learning 2024 VLDB 4.9793485e-05
12,371 Schema Independent and Scalable Relational Learning By Castor 2016 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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