Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries
Summary: Identifies, per aggregation, maximal classes of hierarchical CQs where computing the Shapley value is polynomial-time for every local value function, and proves #P-hardness outside those classes. Maps max/min/count-distinct→all-hierarchical, average/quantile→q-hierarchical, and defines a stricter “has-duplicates” hierarchy. (summarized by gpt-5-mini on Feb 11 2026)
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Authors
- 1. Christoph Standke (RWTH Aachen University)
- 2. Benny Kimelfeld (RelationalAI; Technion)
BibTeX Citation
@inproceedings{standke_pods26,
address = {New York, NY, USA},
series = {{PODS} '26},
title = {{Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries}},
url = {https://dl.acm.org/doi/10.1145/3767720},
doi = {10.1145/3767720},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Standke, Christoph and Kimelfeld, Benny},
year = {2026}
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