1 code implementation • 20 Mar 2023 • Emil Riis Hansen, Thomas Dyhre Nielsen, Thomas Mulvad, Mads Nibe Strausholm, Tomer Sagi, Katja Hose
Predicting patients hospital length of stay (LOS) is essential for improving resource allocation and supporting decision-making in healthcare organizations.
1 code implementation • 3 Mar 2023 • Mossad Helali, Niki Monjazeb, Shubham Vashisth, Philippe Carrier, Ahmed Helal, Antonio Cavalcante, Khaled Ammar, Katja Hose, Essam Mansour
Hence, this paper presents a scalable platform, KGLiDS, that employs machine learning and knowledge graph technologies to abstract and capture the semantics of data science artifacts and their connections.
no code implementations • 9 Sep 2022 • Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose
In this work, we propose SimpleRec, a strong baseline that uses a graph neural network and a KG to provide better recommendations than related inductive methods for new users and items.
no code implementations • 26 Apr 2022 • Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen
In this paper, we propose to use Graph Neural Networks (GNNs) to leverage the assembly graph when learning contig representations for metagenomic binning.
no code implementations • 25 Nov 2021 • Essam Mansour, Kavitha Srinivas, Katja Hose
Similar to Open Data initiatives, data science as a community has launched initiatives for sharing not only data but entire pipelines, derivatives, artifacts, etc.
1 code implementation • 8 Jun 2021 • Anders H. Brams, Anders L. Jakobsen, Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose
As a demonstration of the importance of this new dataset, we present a comparative study of the effect of the inclusion of ratings on non-item KG entities in a variety of state-of-the-art recommendation models.
1 code implementation • 17 May 2017 • Gabriela Montoya, Hala Skaf-Molli, Katja Hose
Our experimental results show that Odyssey produces query execution plans that are better in terms of data transfer and execution time than state-of-the-art optimizers.
Databases