61 citations · 107 across the 16 of their papers we have counts for
4 papers · 1 filter
A Human-Centric Assessment Framework for AI
Sascha Saralajew, Ammar Shaker, Zhao Xu +5
With the rise of AI systems in real-world applications comes the need for reliable and trustworthy AI. An essential aspect of this are explainable AI systems. However, there is no…
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
Representation learning for knowledge graphs (KGs) has focused on the problem of answering simple link prediction queries. In this work we address the more ambitious challenge of p…
Analysis of the Impact of Negative Sampling on Link Prediction in Knowledge Graphs
Bhushan Kotnis, Vivi Nastase
Knowledge graphs are large, useful, but incomplete knowledge repositories. They encode knowledge through entities and relations which define each other through the connective struc…
Learning Knowledge Graph Embeddings with Type Regularizer
Bhushan Kotnis, Vivi Nastase
Learning relations based on evidence from knowledge bases relies on processing the available relation instances. Many relations, however, have clear domain and range, which we hypo…