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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)

Paper ID
7135
Venue
SIGMOD
Year
2025
Pagerank
4.1945683e-05
Overall Rank
10,427 | 27.47%
DOI
10.1145/3722212.3725086

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

Rank Cited Paper Year Venue Pagerank
435 Efficient Aggregation for Graph Summarization 2008 SIGMOD 0.00023260172
1,041 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00014482047
4,761 Efficient Graph Summarization using Weighted LSH at Billion-Scale 2021 SIGMOD 5.9404527e-05
7,172 Summarized Causal Explanations For Aggregate Views 2024 SIGMOD 4.8114797e-05
10,581 Causal DAG Summarization 2025 VLDB 4.1945683e-05
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