Graphs can model real-world, complex systems by representing entities an...
Conventional static knowledge graphs model entities in relational data a...
Similarly to other connectionist models, Graph Neural Networks (GNNs) la...
Graph neural networks (GNNs) are quickly becoming the standard approach ...
High-quality Web tables are rich sources of information that can be used...
The application of graph neural networks (GNNs) to the domain of electri...
Model transformations play a fundamental role in model-driven software
d...
We report on a large-scale empirical study investigating the relevance o...
Biomedical knowledge graphs permit an integrative computational approach...
The graph structure of biomedical data differs from those in typical
kno...
We propose a novel method for fact-checking on knowledge graphs based on...
We propose a novel method for automatic reasoning on knowledge graphs ba...