A dichotomy for homomorphism-closed queries on probabilistic graphs

Antoine Amarilli, İsmail İlkan Ceylan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We study the problem of probabilistic query evaluation (PQE) over probabilistic graphs, namely, tuple-independent probabilistic databases (TIDs) on signatures of arity two. Our focus is the class of queries that is closed under homomorphisms, or equivalently, the infinite unions of conjunctive queries, denoted UCQ. Our main result states that all unbounded queries in UCQ are #P-hard for PQE. As bounded queries in UCQ are already classified by the dichotomy of Dalvi and Suciu [17], our results and theirs imply a complete dichotomy on PQE for UCQ queries over probabilistic graphs. This dichotomy covers in particular all fragments in UCQ such as negation-free (disjunctive) Datalog, regular path queries, and a large class of ontology-mediated queries on arity-two signatures. Our result is shown by reducing from counting the valuations of positive partitioned 2-DNF formulae (#PP2DNF) for some queries, or from the source-to-target reliability problem in an undirected graph (#U-ST-CON) for other queries, depending on properties of minimal models.

Original languageEnglish
Title of host publication23rd International Conference on Database Theory, ICDT 2020
EditorsCarsten Lutz, Jean Christoph Jung
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
ISBN (Electronic)9783959771399
DOIs
Publication statusPublished - 1 Mar 2020
Event23rd International Conference on Database Theory, ICDT 2020 - Copenhagen, Denmark
Duration: 30 Mar 20202 Apr 2020

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume155
ISSN (Print)1868-8969

Conference

Conference23rd International Conference on Database Theory, ICDT 2020
Country/TerritoryDenmark
CityCopenhagen
Period30/03/202/04/20

Keywords

  • #P-hardness
  • Homomorphism-closed queries
  • Recursive queries
  • Tuple-independent database

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