1 code implementation • 4 Aug 2022 • Dominik Dold, Josep Soler Garrido, Victor Caceres Chian, Marcel Hildebrandt, Thomas Runkler
Knowledge graphs are an expressive and widely used data structure due to their ability to integrate data from different domains in a sensible and machine-readable way.
1 code implementation • 4 Oct 2021 • Dominik Dold, Josep Soler Garrido
Machine learning on graph-structured data has recently become a major topic in industry and research, finding many exciting applications such as recommender systems and automated theorem proving.
1 code implementation • 18 May 2021 • Josep Soler Garrido, Dominik Dold, Johannes Frank
Machine learning techniques are gaining attention in the context of intrusion detection due to the increasing amounts of data generated by monitoring tools, as well as the sophistication displayed by attackers in hiding their activity.
1 code implementation • 27 Apr 2021 • Dominik Dold, Josep Soler Garrido
We propose a spike-based algorithm where nodes in a graph are represented by single spike times of neuron populations and relations as spike time differences between populations.