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)

Paper ID: 6036
Venue: SIGMOD
Year: 2020
Pagerank: 8.6755064e-05
Overall Rank: 2,374 | 83.72%
DOI: 10.1145/3318464.3389759

Incoming Non-self Citations Over Time

Authors

1. Babak Salimi (University of Washington)
2. Harsh Parikh (Duke University)
3. Moe Kayali (University of Washington)
4. Lise Getoor (University of California Santa Cruz)
5. Sudeepa Roy (Duke University)
6. Dan Suciu (University of Washington)

BibTeX Citation

@inproceedings{salimi_sigmod20,
        title = {{Causal Relational Learning}},
        author = {Salimi, Babak and Parikh, Harsh and Kayali, Moe and Getoor, Lise and Roy, Sudeepa and Suciu, Dan},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389759},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389759},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,340	Responsible Data Management	2020	VLDB	0.00011111667
3,000	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	SIGMOD	7.8677069e-05
4,876	XInsight: eXplainable Data Analysis Through The Lens of Causality	2023	SIGMOD	6.4687705e-05
5,025	HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach	2022	SIGMOD	6.3974766e-05
5,054	Explainable AI: Foundations, Applications, Opportunities for Data Management Research	2022	SIGMOD	6.3843089e-05
6,054	Causal Data Integration	2023	VLDB	5.9932261e-05
6,094	The Fast and the Private: Task-based Dataset Search	2024	CIDR	5.9786215e-05
6,576	Toward Interpretable and Actionable Data Analysis with Explanations and Causality	2022	VLDB	5.8364729e-05
6,932	Summarized Causal Explanations For Aggregate Views	2024	SIGMOD	5.7362362e-05
7,068	DataPrism: Exposing Disconnect between Data and Systems	2022	SIGMOD	5.7119157e-05
8,658	Nexus: Correlation Discovery over Collections of Spatio-Temporal Tabular Data	2024	SIGMOD	5.3904679e-05
9,055	Causal DAG Summarization	2025	VLDB	5.3251649e-05
9,773	Fair and Actionable Causal Prescription Ruleset	2025	SIGMOD	5.2209769e-05
10,391	Privacy-preserving and Verifiable Causal Prescriptive Analytics	2026	SIGMOD	5.093636e-05
10,502	Stress-Testing Causal Claims via Cardinality Repairs	2026	SIGMOD	5.093636e-05
10,925	Meaningful Data Erasure in the Presence of Dependencies	2025	VLDB	5.093636e-05
10,958	What If: Causal Analysis with Graph Databases	2025	VLDB	5.093636e-05
10,968	Suna: Scalable Causal Confounder Discovery over Relational Data	2025	VLDB	5.093636e-05
11,069	Versatile Property Graph Transformations	2025	VLDB	5.093636e-05
11,465	MINT: Detecting Fraudulent Behaviors from Time-series Relational Data	2023	VLDB	5.093636e-05
13,490	Demonstration of Inferring Causality from Relational Databases with CaRL	2020	VLDB	-

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
605	The Complexity of Causality and Responsibility for Query Answers and non-Answers	2011	VLDB	0.00015839628
663	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015174751
1,096	Tiresias: The Database Oracle for How-To Queries	2012	SIGMOD	0.00012189583
1,845	Hypothetical Queries in an OLAP Environment	2000	VLDB	9.629006e-05
1,943	Causality and Explanations in Databases	2014	VLDB	9.440636e-05
1,952	Caravan: Provisioning for What-If Analysis	2013	CIDR	9.4233049e-05
2,432	Tracing Data Errors with View-Conditioned Causality	2011	SIGMOD	8.5870067e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	10,557	Database Views as Explanations for Relational Deep Learning	2026	VLDB
2	8,036	Learning Statistical Models from Relational Data	2011	SIGMOD
3	1,626	Scalable Techniques for Mining Causal Structures	1998	VLDB
4	10,018	From Logs to Causal Inference: Diagnosing Large Systems	2025	VLDB
5	9,055	Causal DAG Summarization	2025	VLDB
6	6,054	Causal Data Integration	2023	VLDB
7	6,576	Toward Interpretable and Actionable Data Analysis with Explanations and Causality	2022	VLDB
8	10,958	What If: Causal Analysis with Graph Databases	2025	VLDB
9	10,042	Scalable and Usable Relational Learning With Automatic Language Bias	2021	SIGMOD
10	13,490	Demonstration of Inferring Causality from Relational Databases with CaRL	2020	VLDB