TY - GEN
T1 - Uniform Reliability for Unbounded Homomorphism-Closed Graph Queries
AU - Amarilli, Antoine
N1 - Publisher Copyright:
© Antoine Amarilli; licensed under Creative Commons License CC-BY 4.0 26th International Conference on Database Theory (ICDT 2023)
PY - 2023/3/1
Y1 - 2023/3/1
N2 - We study the uniform query reliability problem, which asks, for a fixed Boolean query Q, given an instance I, how many subinstances of I satisfy Q. Equivalently, this is a restricted case of Boolean query evaluation on tuple-independent probabilistic databases where all facts must have probability 1/2. We focus on graph signatures, and on queries closed under homomorphisms. We show that for any such query that is unbounded, i.e., not equivalent to a union of conjunctive queries, the uniform reliability problem is #P-hard. This recaptures the hardness, e.g., of s-t connectedness, which counts how many subgraphs of an input graph have a path between a source and a sink. This new hardness result on uniform reliability strengthens our earlier hardness result on probabilistic query evaluation for unbounded homomorphism-closed queries [2]. Indeed, our earlier proof crucially used facts with probability 1, so it did not apply to the unweighted case. The new proof presented in this paper avoids this; it uses our recent hardness result on uniform reliability for non-hierarchical conjunctive queries without self-joins [3], along with new techniques.
AB - We study the uniform query reliability problem, which asks, for a fixed Boolean query Q, given an instance I, how many subinstances of I satisfy Q. Equivalently, this is a restricted case of Boolean query evaluation on tuple-independent probabilistic databases where all facts must have probability 1/2. We focus on graph signatures, and on queries closed under homomorphisms. We show that for any such query that is unbounded, i.e., not equivalent to a union of conjunctive queries, the uniform reliability problem is #P-hard. This recaptures the hardness, e.g., of s-t connectedness, which counts how many subgraphs of an input graph have a path between a source and a sink. This new hardness result on uniform reliability strengthens our earlier hardness result on probabilistic query evaluation for unbounded homomorphism-closed queries [2]. Indeed, our earlier proof crucially used facts with probability 1, so it did not apply to the unweighted case. The new proof presented in this paper avoids this; it uses our recent hardness result on uniform reliability for non-hierarchical conjunctive queries without self-joins [3], along with new techniques.
KW - #P-hardness
KW - Uniform reliability
KW - probabilistic databases
U2 - 10.4230/LIPIcs.ICDT.2023.14
DO - 10.4230/LIPIcs.ICDT.2023.14
M3 - Conference contribution
AN - SCOPUS:85150689465
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - 26th International Conference on Database Theory, ICDT 2023
A2 - Geerts, Floris
A2 - Vandevoort, Brecht
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 26th International Conference on Database Theory, ICDT 2023
Y2 - 28 March 2023 through 31 March 2023
ER -