Causal Relational Learning
Summary: Relational causal learning for multi-table data. CaRL is a Datalog-like language encoding causal background knowledge and assumptions specify queries and simulate interventions on relational schemas, evaluated on social science and healthcare data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Babak Salimi
- 2. Harsh Parikh
- 3. Moe Kayali
- 4. Lise Getoor
- 5. Sudeepa Roy
- 6. Dan Suciu
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 943 | A Formal Approach to Finding Explanations for Database Queries | 2014 | SIGMOD | 0.00015140995 |
| 1,119 | The Complexity of Causality and Responsibility for Query Answers and non-Answers | 2011 | VLDB | 0.00013851012 |
| 1,376 | Tiresias: The Database Oracle for How-To Queries | 2012 | SIGMOD | 0.00012315734 |
| 1,460 | Hypothetical Queries in an OLAP Environment | 2000 | VLDB | 0.00011873918 |
| 1,646 | Caravan: Provisioning for What-If Analysis | 2013 | CIDR | 0.00011026644 |
| 2,400 | Causality and Explanations in Databases | 2014 | VLDB | 8.884178e-05 |
| 2,600 | Tracing Data Errors with View-Conditioned Causality | 2011 | SIGMOD | 8.4652308e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,269 | Database Views as Explanations for Relational Deep Learning | 2026 | VLDB | 4.1905499e-05 |
| 8,063 | Learning Statistical Models from Relational Data | 2011 | SIGMOD | 4.5900116e-05 |
| 1,604 | Scalable Techniques for Mining Causal Structures | 1998 | VLDB | 0.00011181856 |
| 9,870 | From Logs to Causal Inference: Diagnosing Large Systems | 2025 | VLDB | 4.2626861e-05 |
| 10,590 | Causal DAG Summarization | 2025 | VLDB | 4.1905499e-05 |
| 6,445 | Causal Data Integration | 2023 | VLDB | 5.0539192e-05 |
| 6,565 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.0033542e-05 |
| 10,722 | What If: Causal Analysis with Graph Databases | 2025 | VLDB | 4.1905499e-05 |
| 9,885 | Scalable and Usable Relational Learning With Automatic Language Bias | 2021 | SIGMOD | 4.2580321e-05 |
| 13,301 | Demonstration of Inferring Causality from Relational Databases with CaRL | 2020 | VLDB | - |