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Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms

Summary: First practical method to compute Banzhaf and Shapley contributions for aggregate queries (beyond SPJUU). Two optimizations—grouping equal-contribution tuples and using lineage gradients to amortize cost—yield up to 1000× speedups and scale to million-instance tests. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14019
Venue
VLDB
Year
2025
Pagerank
4.471975e-05
Overall Rank
8,665 | 39.72%
DOI
10.14778/3749646.3749670

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,010 Tractability Frontiers of the Shapley Value for Aggregate Conjunctive Queries 2026 PODS 4.1945683e-05
10,140 Analyzing Deviations from Monotonic Trends through Database Repair 2026 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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