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)
Incoming Non-self Citations Over Time
Authors
- 1. Qiang Zeng (University of Wisconsin)
- 2. Jignesh M. Patel (University of Wisconsin)
- 3. David Page (University of Wisconsin)
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 |
|---|---|---|---|---|
| 2,156 | Quickstep: A Data Platform Based on the Scaling-Up Approach | 2018 | VLDB | 9.0635624e-05 |
| 7,880 | Learning Over Dirty Data Without Cleaning | 2020 | SIGMOD | 5.5244204e-05 |
| 7,985 | Schema Independent Relational Learning | 2017 | SIGMOD | 5.5125969e-05 |
| 10,042 | Scalable and Usable Relational Learning With Automatic Language Bias | 2021 | SIGMOD | 5.1708123e-05 |
| 10,466 | InferF: Declarative Factorization of AI/ML Inferences over Joins | 2026 | SIGMOD | 5.093636e-05 |
| 11,245 | Relational Query Synthesis ⋈ Decision Tree Learning | 2024 | VLDB | 5.093636e-05 |
| 12,078 | Schema Independent and Scalable Relational Learning By Castor | 2016 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 106 | The MADlib Analytics Library or MAD Skills, the SQL | 2012 | VLDB | 0.00033539462 |
| 383 | QPipe: A Simultaneously Pipelined Relational Query Engine | 2005 | SIGMOD | 0.00019520728 |
| 518 | Towards a Unified Architecture for in-RDBMS Analytics | 2012 | SIGMOD | 0.00017167492 |
| 761 | Cooperative Scans: Dynamic Bandwidth Sharing in a DBMS | 2007 | VLDB | 0.00014254351 |
| 1,022 | A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses | 2009 | VLDB | 0.00012602841 |
| 1,024 | The DataPath System: A Data-Centric Analytic Processing Engine for Large Data Warehouses | 2010 | SIGMOD | 0.0001258839 |
| 1,333 | Ricardo: Integrating R and Hadoop | 2010 | SIGMOD | 0.0001112858 |
| 1,970 | Proof-Tree Transformation Theorems and Their Applications | 1989 | PODS | 9.3746238e-05 |
| 5,715 | Design and Evaluation of Storage Organizations for Read-Optimized Main Memory Databases | 2013 | VLDB | 6.1105343e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 859 | An Efficient SQL-based RDF Querying Scheme | 2005 | VLDB |
| 2 | 1,043 | Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS | 2011 | VLDB |
| 3 | 6,623 | Teaching an RDBMS about ontological constraints | 2016 | VLDB |
| 4 | 1,170 | QuickSel: Quick Selectivity Learning with Mixture Models | 2020 | SIGMOD |
| 5 | 295 | Accelerating Machine Learning Inference with Probabilistic Predicates | 2018 | SIGMOD |
| 6 | 9,962 | Structure-Aware Machine Learning over Multi-Relational Databases | 2021 | SIGMOD |
| 7 | 10,831 | Holistic query Approximation via RL Modeling | 2025 | VLDB |
| 8 | 7,137 | Rule-Based Translation of Relational Queries into Iterative Programs | 1986 | SIGMOD |
| 9 | 13,076 | Learning Efficient Query Processing Strategies | 1992 | PODS |
| 10 | 11,845 | Query-Driven Learning for Next Generation Predictive Modeling & Analytics | 2019 | SIGMOD |