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cs.DB2026

Convolution Sum-Product Queries

Kyle Deeds, Timo Camillo Merkl, Dan Suciu

We study query evaluation for an extension of sum-product queries (SPQ) that allows atoms with linear combinations of variables (e.g. ), which we call convolution…

cs.DB2025

The Space-Time Complexity of Sum-Product Queries

Kyle Deeds, Timo Camillo Merkl, Reinhard Pichler +1

While extensive research on query evaluation has achieved consistent improvements in the time complexity of algorithms, the space complexity of query evaluation has been largely ig…

cs.DB2024

Pessimistic Cardinality Estimation

Mahmoud Abo Khamis, Kyle Deeds, Dan Olteanu +1

Cardinality Estimation is to estimate the size of the output of a query without computing it, by using only statistics on the input relations. Existing estimators try to return an…

cs.DB2024

QirK: Question Answering via Intermediate Representation on Knowledge Graphs

Jan Luca Scheerer, Anton Lykov, Moe Kayali +4

We demonstrate QirK, a system for answering natural language questions on Knowledge Graphs (KG). QirK can answer structurally complex questions that are still beyond the reach of e…

cs.DB2024

Galley: Modern Query Optimization for Sparse Tensor Programs

Kyle Deeds, Willow Ahrens, Magda Balazinska +1

The tensor programming abstraction is a foundational paradigm which allows users to write high performance programs via a high-level imperative interface. Recent work on sparse ten…

cs.DB2024

Color: A Framework for Applying Graph Coloring to Subgraph Cardinality Estimation

Kyle Deeds, Diandre Sabale, Moe Kayali +1

Graph workloads pose a particularly challenging problem for query optimizers. They typically feature large queries made up of entirely many-to-many joins with complex correlations.…