activity
20242026
collaborators

7 papers

cs.DB2026

Maintaining Queries under Updates Using Heavy-Light Partitioning of the Input Relations

Mahmoud Abo-Khamis, Eden Chmielewski, Andrei Draghici +2

We study the classical incremental view maintenance problem: Given a query and a database, maintain the query output under single-tuple updates (inserts or deletes) to the database…

cs.DB2026

Acyclic Conjunctive Regular Path Queries are no Harder than Corresponding Conjunctive Queries

Mahmoud Abo Khamis, Alexandru-Mihai Hurjui, Ahmet Kara +2

We present an output-sensitive algorithm for evaluating an acyclic Conjunctive Regular Path Query (CRPQ). Its complexity is written in terms of the input size, the output size, and…

cs.DB2025

Output-Sensitive Evaluation of Acyclic Conjunctive Regular Path Queries

Mahmoud Abo Khamis, Alexandru-Mihai Hurjui, Ahmet Kara +3

Conjunctive Regular Path Queries, or CRPQs for short, are an essential construct in graph query languages. In this paper, we propose the first output-sensitive algorithm for evalua…

cs.DB2025

Information Theory Strikes Back: New Development in the Theory of Cardinality Estimation

Mahmoud Abo Khamis, Vasileios Nakos, Dan Olteanu +1

Estimating the cardinality of the output of a query is a fundamental problem in database query processing. In this article, we overview a recently published contribution that casts…

cs.DB2025

Output-Sensitive Evaluation of Regular Path Queries

Mahmoud Abo Khamis, Ahmet Kara, Dan Olteanu +1

We study the classical evaluation problem for regular path queries: Given an edge-labeled graph and a regular path query, compute the set of pairs of vertices that are connected by…

cs.DB2025

LpBound: Pessimistic Cardinality Estimation using -Norms of Degree Sequences

Haozhe Zhang, Christoph Mayer, Mahmoud Abo Khamis +2

Cardinality estimation is the problem of estimating the size of the output of a query, without actually evaluating the query. The cardinality estimator is a critical piece of a que…