Causal DAG Summarization

Summary: Proposes a causal DAG summarization objective that compresses large DAGs while preserving identification-relevant structure for valid adjustment. Gives an efficient greedy algorithm producing summary DAGs usable directly for inference and empirically more robust to misspecification than prior methods. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13849
Venue: VLDB
Year: 2025
Pagerank: 4.1945683e-05
Overall Rank: 10,581 | 26.39%
DOI: 10.14778/3725688.3725717

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,147	Causal Explanations for Disparate Trends: Where and Why?	2026	SIGMOD	4.1945683e-05
10,427	CausaLens: A System for Summarizing Causal DAGs	2025	SIGMOD	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
313	Graph Clustering Based on Structural/Attribute Similarities	2009	VLDB	0.00028097557
388	Graph Summarization with Bounded Error	2008	SIGMOD	0.00024662272
435	Efficient Aggregation for Graph Summarization	2008	SIGMOD	0.00023260172
942	A Formal Approach to Finding Explanations for Database Queries	2014	SIGMOD	0.00015155714
1,041	Interventional Fairness : Causal Database Repair for Algorithmic Fairness	2019	SIGMOD	0.00014482047
1,449	Causal Relational Learning	2020	SIGMOD	0.0001193267
1,579	Query Preserving Graph Compression	2012	SIGMOD	0.00011283792
2,402	Causality and Explanations in Databases	2014	VLDB	8.8928361e-05
2,810	Bias in OLAP Queries: Detection, Explanation, and Removal (Or Think Twice About Your AVG-Query)	2018	SIGMOD	8.0810163e-05
2,923	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals	2021	SIGMOD	7.8953538e-05
3,241	TPC-DS, Taking Decision Support Benchmarking to the Next Level	2002	SIGMOD	7.3305643e-05
4,761	Efficient Graph Summarization using Weighted LSH at Billion-Scale	2021	SIGMOD	5.9404527e-05
5,607	HYPER: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach	2022	SIGMOD	5.4137872e-05
5,968	Summarizing Static and Dynamic Big Graphs	2017	VLDB	5.2503253e-05
6,160	A Demonstration of Interactive Analysis of Performance Measurements with Viska	2017	SIGMOD	5.1758344e-05
6,449	Causal Data Integration	2023	VLDB	5.0587746e-05
6,565	Toward Interpretable and Actionable Data Analysis with Explanations and Causality	2022	VLDB	5.0081626e-05
6,609	Data-driven Visual Query Interfaces for Graphs: Past, Present, and (Near) Future	2022	SIGMOD	4.9956718e-05
7,172	Summarized Causal Explanations For Aggregate Views	2024	SIGMOD	4.8114797e-05
7,449	OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport	2024	SIGMOD	4.7269357e-05
7,851	Consistent Range Approximation for Fair Predictive Modeling	2023	VLDB	4.6353072e-05
9,871	From Logs to Causal Inference: Diagnosing Large Systems	2025	VLDB	4.2667743e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
10,213	Stress-Testing Causal Claims via Cardinality Repairs	2026	SIGMOD	4.1945683e-05
1,623	Scalable Techniques for Mining Causal Structures	1998	VLDB	0.00011102927
10,428	CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets	2025	SIGMOD	4.1945683e-05
10,429	CauSumX: Summarized Causal Explanations For Group-By-Average Queries	2025	SIGMOD	4.1945683e-05
9,871	From Logs to Causal Inference: Diagnosing Large Systems	2025	VLDB	4.2667743e-05
1,449	Causal Relational Learning	2020	SIGMOD	0.0001193267
6,449	Causal Data Integration	2023	VLDB	5.0587746e-05
10,715	What If: Causal Analysis with Graph Databases	2025	VLDB	4.1945683e-05
7,172	Summarized Causal Explanations For Aggregate Views	2024	SIGMOD	4.8114797e-05
10,427	CausaLens: A System for Summarizing Causal DAGs	2025	SIGMOD	4.1945683e-05