What If: Causal Analysis with Graph Databases
Summary: Embeds DAGs and structural eqns as first-class constructs in property-graph DBs, adding causality-aware query semantics to declaratively express interventions and counterfactuals. Prototype shows scalable causal queries and DAG manipulation. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Amedeo Pachera (National Centre for Scientific Research; University of Lyon)
- 2. Mattia Palmiotto (National Centre for Scientific Research; University of Lyon)
- 3. Angela Bonifati (French Institute for Advanced Study; National Centre for Scientific Research; University of Lyon)
- 4. Andrea Mauri (National Centre for Scientific Research; University of Lyon)
BibTeX Citation
@article{pachera_vldb25,
title = {{What If: Causal Analysis with Graph Databases}},
author = {Pachera, Amedeo and Palmiotto, Mattia and Bonifati, Angela and Mauri, Andrea},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {11},
pages = {4009--4016},
doi = {10.14778/3749646.3749671},
url = {https://doi.org/10.14778/3749646.3749671},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,069 | Versatile Property Graph Transformations | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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