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Conjunctive Queries on Probabilistic Graphs: Combined Complexity

Summary: Classifies combined complexity of conjunctive queries on probabilistic binary instances (probabilistic graph homomorphism/CSP), pinpointing which features—labels, disconnectedness, branching, edge directions—make evaluation tractable or #P-hard. Combines automata→d‑DNNF and β‑acyclic lineage compilations for tractable cases and X‑property, graded DAGs and coding reductions for hardness, yielding a rich complexity map. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1733
Venue
PODS
Year
2017
Pagerank
4.698961e-05
Overall Rank
7,601 | 47.13%
DOI
10.1145/3034786.3056121

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
602 On the Complexity of Bounded-Variable Queries 1995 PODS 0.00019352415
1,663 Conjunctive Queries over Trees 2004 PODS 0.00010977096
5,296 Running Tree Automata on Probabilistic XML 2009 PODS 5.5802694e-05
6,415 Queries with Difference on Probabilistic Databases 2011 VLDB 5.0731258e-05
6,997 Tractable Lineages on Treelike Instances: Limits and Extensions 2016 PODS 4.8676446e-05
7,739 Symmetric Weighted First-Order Model Counting 2015 PODS 4.663547e-05
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