Datalog with First-Class Facts
Summary: Introduces DL^exists!, where unique Skolem terms make facts first-class, enabling efficient reasoning over recursive/tree data without general unification or ADTs. SLOG exploits this restriction for communication-avoiding MPI parallelism at massive scale. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Thomas Gilray (Washington State University)
- 2. Arash Sahebolamri (Syracuse University)
- 3. Yihao Sun (Syracuse University)
- 4. Sowmith Kunapaneni (Washington State University)
- 5. Sidharth Kumar (University of Illinois Chicago)
- 6. Kristopher Micinski (Syracuse University)
BibTeX Citation
@article{gilray_vldb25,
title = {{Datalog with First-Class Facts}},
author = {Gilray, Thomas and Sahebolamri, Arash and Sun, Yihao and Kunapaneni, Sowmith and Kumar, Sidharth and Micinski, Kristopher},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {3},
pages = {651--665},
doi = {10.14778/3712221.3712232},
url = {https://doi.org/10.14778/3712221.3712232},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,582 | FlowLog: Efficient and Extensible Datalog via Incrementality | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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