15 citations · 17 across the 5 of their papers we have counts for
6 papers
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…