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04/28/2023
Learning Graph Neural Networks using Exact Compression
Graph Neural Networks (GNNs) are a form of deep learning that enable a w...
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07/27/2022
Representing Paths in Graph Database Pattern Matching
Modern graph database query languages such as GQL, SQL/PGQ, and their ac...
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11/08/2021
CORE: a COmplex event Recognition Engine
Complex Event Recognition (CER) systems are a prominent technology for f...
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05/23/2019
Conjunctive Queries with Theta Joins Under Updates
Modern application domains such as Composite Event Recognition (CER) and...
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02/01/2019
Incremental Techniques for Large-Scale Dynamic Query Processing
Many applications from various disciplines are now required to analyze f...
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03/14/2018
Constant delay algorithms for regular document spanners
Regular expressions and automata models with capture variables are core ...
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03/04/2018
Comparing Downward Fragments of the Relational Calculus with Transitive Closure on Trees
Motivated by the continuing interest in the tree data model, we study th...
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01/16/2018
An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems
Big Data architectures allow to flexibly store and process heterogeneous...
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12/04/2017