17 citations · 54 across the 13 of their papers we have counts for
14 papers
Automatic knowledge-graph creation from historical documents: The Chilean dictatorship as a case study
Camila Díaz, Jocelyn Dunstan, Lorena Etcheverry +5
We present our results regarding the automatic construction of a knowledge graph from historical documents related to the Chilean dictatorship period (1973-1990). Our approach cons…
Expressiveness and Approximation Properties of Graph Neural Networks
Floris Geerts, Juan L. Reutter
Characterizing the separation power of graph neural networks (GNNs) provides an understanding of their limitations for graph learning tasks. Results regarding separation power are,…
Graph Neural Networks with Local Graph Parameters
Pablo Barceló, Floris Geerts, Juan Reutter +1
Various recent proposals increase the distinguishing power of Graph Neural Networks GNNs by propagating features between -tuples of vertices. The distinguishing power of these "…
Recursive SPARQL for Graph Analytics
Aidan Hogan, Juan Reutter, Adrian Soto
Work on knowledge graphs and graph-based data management often focus either on declarative graph query languages or on frameworks for graph analytics, where there has been little w…
Optimal Joins using Compact Data Structures
Gonzalo Navarro, Juan L. Reutter, Javiel Rojas-Ledesma
Worst-case optimal join algorithms have gained a lot of attention in the database literature. We now count with several algorithms that are optimal in the worst case, and many of t…
Assessing Achievability of Queries and Constraints
Rada Chirkova, Jon Doyle, Juan L. Reutter
Assessing and improving the quality of data in data-intensive systems are fundamental challenges that have given rise to numerous applications targeting transformation and cleaning…
DataSlicer: Task-Based Data Selection for Visual Data Exploration
Farid Alborzi, Surajit Chaudhuri, Rada Chirkova +5
In visual exploration and analysis of data, determining how to select and transform the data for visualization is a challenge for data-unfamiliar or inexperienced users. Our main h…
A Framework for Assessing Achievability of Data-Quality Constraints
Rada Chirkova, Jon Doyle, Juan L. Reutter
Assessing and improving the quality of data are fundamental challenges for data-intensive systems that have given rise to applications targeting transformation and cleaning of data…
JSON: data model, query languages and schema specification
Pierre Bourhis, Juan L. Reutter, Fernando Suárez +1
Despite the fact that JSON is currently one of the most popular formats for exchanging data on the Web, there are very few studies on this topic and there are no agreement upon the…
Evaluating navigational RDF queries over the Web
Jorge Baier, Dietrich Daroch, Juan Reutter +1
Semantic Web, and its underlying data format RDF, lend themselves naturally to navigational querying due to their graph-like structure. This is particularly evident when considerin…
Foundations of Modern Query Languages for Graph Databases
Renzo Angles, Marcelo Arenas, Pablo Barcelo +3
We survey foundational features underlying modern graph query languages. We first discuss two popular graph data models: edge-labelled graphs, where nodes are connected by directed…
Containment of Nested Regular Expressions
Juan L. Reutter
Nested regular expressions (NREs) have been proposed as a powerful formalism for querying RDFS graphs, but research in a more general graph database context has been scarce, and st…
Parameterized Regular Expressions and their Languages
Pablo Barceló, Leonid Libkin, Juan Reutter
We study regular expressions that use variables, or parameters, which are interpreted as alphabet letters. We consider two classes of languages denoted by such expressions: under t…
Composition and Inversion of Schema Mappings
Marcelo Arenas, Jorge Perez, Juan Reutter +1
In the recent years, a lot of attention has been paid to the development of solid foundations for the composition and inversion of schema mappings. In this paper, we review the pro…