Demonstration of Inferring Causality from Relational Databases with CaRL
Summary: CaRL: end-to-end causal inference from relational databases, removing flat-table homogeneity. GUI-wrapped demonstration on real academic and medical relational data shows live causal analysis across heterogeneous units via relational structure. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Moe Kayali
- 2. Babak Salimi
- 3. Dan Suciu
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| Rank | Cited Paper | Year | Venue | Pagerank |
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| 1,454 | Causal Relational Learning | 2020 | SIGMOD | 0.00011921443 |
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