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Conjunctive Queries With Self-Joins, Towards a Fine-Grained Enumeration Complexity Analysis

Summary: Initiates a fine-grained enumeration complexity study of conjunctive queries with self-joins, extending dichotomies for linear delay and constant delay after linear preprocessing and identifying new tractable cases that arise only with self-joins. Develops tagging-based hardness proofs, provides sufficient and necessary tractability conditions, and settles low-arity and cyclic-core cases while leaving many instances open. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1886
Venue
PODS
Year
2023
Pagerank
4.9483326e-05
Overall Rank
6,728 | 53.20%
DOI
10.1145/3584372.3588667

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
9,707 Towards Update-Dependent Analysis of Query Maintenance 2025 PODS 4.299267e-05
10,010 Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries 2026 PODS 4.1945683e-05
10,343 Circuit Bounds for Conjunctive Queries with Self-joins 2025 PODS 4.1945683e-05
10,905 Tight Bounds of Circuits for Sum-Product Queries 2024 PODS 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
3,371 On the Enumeration Complexity of Unions of Conjunctive Queries 2019 PODS 7.1696145e-05
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