CausaLens: A System for Summarizing Causal DAGs
Summary: CausaLens summarizes high-dimensional causal DAGs, preserving essential causal information in a compact form. SIGMOD'25 demo shows the summary DAG enables inference robust to DAG misspecification, outperforming full-DAG analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Noam Chen (Technion)
- 2. Anna Zeng (Massachusetts Institute of Technology)
- 3. Michael John Cafarella (Massachusetts Institute of Technology)
- 4. Batya Kenig (Technion)
- 5. Markos Markakis (Massachusetts Institute of Technology)
- 6. Oren Mishali (Technion)
- 7. Brit Youngmann (Technion)
- 8. Babak Salimi (University of California San Diego)
BibTeX Citation
@inproceedings{chen_sigmod25,
title = {{CausaLens: A System for Summarizing Causal DAGs}},
author = {Chen, Noam and Zeng, Anna and Cafarella, Michael John and Kenig, Batya and Markakis, Markos and Mishali, Oren and Youngmann, Brit and Salimi, Babak},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725086},
url = {https://dl.acm.org/doi/10.1145/3722212.3725086},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 497 | Efficient Aggregation for Graph Summarization | 2008 | SIGMOD | 0.00017318153 |
| 803 | Interventional Fairness : Causal Database Repair for Algorithmic Fairness | 2019 | SIGMOD | 0.00013836858 |
| 5,075 | Efficient Graph Summarization using Weighted LSH at Billion-Scale | 2021 | SIGMOD | 6.2860889e-05 |
| 6,436 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD | 5.7853643e-05 |
| 9,231 | Causal DAG Summarization | 2025 | VLDB | 5.2056825e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,183 | Causal Data Integration | 2023 | VLDB |
| 2 | 13,804 | Demonstration of Inferring Causality from Relational Databases with CaRL | 2020 | VLDB |
| 3 | 4,982 | XInsight: eXplainable Data Analysis Through The Lens of Causality | 2023 | SIGMOD |
| 4 | 2,315 | Causal Relational Learning | 2020 | SIGMOD |
| 5 | 10,207 | From Logs to Causal Inference: Diagnosing Large Systems | 2025 | VLDB |
| 6 | 6,436 | Summarized Causal Explanations For Aggregate Views | 2024 | SIGMOD |
| 7 | 11,142 | CausalExplain: Causal Explanations of Black-box Models with Training Data Subsets | 2025 | SIGMOD |
| 8 | 11,345 | What If: Causal Analysis with Graph Databases | 2025 | VLDB |
| 9 | 11,143 | CauSumX: Summarized Causal Explanations For Group-By-Average Queries | 2025 | SIGMOD |
| 10 | 9,231 | Causal DAG Summarization | 2025 | VLDB |