Generative Datalog with Stable Negation
Summary: Adds negation to generative Datalog using stable-model semantics, increasing expressivity of declarative probabilistic programs over relational DBs. Provides a robust probabilistic semantics by defining probability spaces over stable minimal models and resolving existence/robustness issues. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Mario Alviano
- 2. Matthias Lanzinger
- 3. Michael Morak
- 4. Andreas Pieris
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Outgoing Citations (Sorted by Pagerank)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,251 | On Probabilistic Fixpoint and Markov Chain Query Languages | 2010 | PODS | 7.3215694e-05 |
| 6,003 | Generative Datalog with Continuous Distributions | 2020 | PODS | 5.2415551e-05 |
| 11,762 | Stable Model Semantics for Tuple-Generating Dependencies Revisited | 2017 | PODS | 4.1945683e-05 |
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