43 citations · 227 across the 23 of their papers we have counts for
4 papers · 1 filter
An energy-based model for neuro-symbolic reasoning on knowledge graphs
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 t…
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Victor Caceres Chian, Marcel Hildebrandt, Thomas Runkler +1
Computing latent representations for graph-structured data is an ubiquitous learning task in many industrial and academic applications ranging from molecule synthetization to socia…
Machine learning on knowledge graphs for context-aware security monitoring
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 sophisti…
SpikE: spike-based embeddings for multi-relational graph data
Dominik Dold, Josep Soler Garrido
Despite the recent success of reconciling spike-based coding with the error backpropagation algorithm, spiking neural networks are still mostly applied to tasks stemming from senso…