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Symmetric Weighted First-Order Model Counting

Summary: Studies symmetric WFOMC (uniform per-relation tuple weights) motivated by MLNs and KB inference; analyzes both data and combined complexity for FOMC/WFOMC. Shows data hardness: an FO3 formula with FOMC #P1-complete and a CQ with WFOMC #P1-complete, while gamma-acyclic queries are polynomial; combined complexity of FO^k (k≥2) is #P-complete. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1644
Venue
PODS
Year
2015
Pagerank
5.4910538e-05
Overall Rank
8,084 | 44.54%
DOI
10.1145/2745754.2745760

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{beame_pods15,
        address = {New York, NY, USA},
        series = {{PODS} '15},
        title = {{Symmetric Weighted First-Order Model Counting}},
        url = {https://dl.acm.org/doi/10.1145/2745754.2745760},
        doi = {10.1145/2745754.2745760},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Beame, Paul and Van den Broeck, Guy and Gribkoff, Eric and Suciu, Dan},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
6,741 Probabilistic Databases for All 2020 PODS 5.7866368e-05
7,706 Conjunctive Queries on Probabilistic Graphs: Combined Complexity 2017 PODS 5.5638493e-05
7,851 A Dichotomy for the Generalized Model Counting Problem for Unions of Conjunctive Queries 2021 PODS 5.531589e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

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