no code implementations • 23 Dec 2022 • Anna Himmelhuber, Dominik Dold, Stephan Grimm, Sonja Zillner, Thomas Runkler
Machine learning (ML) on graph-structured data has recently received deepened interest in the context of intrusion detection in the cybersecurity domain.
Decision Making Explainable Artificial Intelligence (XAI) +3
no code implementations • 3 Dec 2021 • Anna Himmelhuber, Stephan Grimm, Sonja Zillner, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler
Similarly to other connectionist models, Graph Neural Networks (GNNs) lack transparency in their decision-making.
no code implementations • 25 Nov 2021 • Anna Himmelhuber, Stephan Grimm, Thomas Runkler, Sonja Zillner
The increasing importance of resource-efficient production entails that manufacturing companies have to create a more dynamic production environment, with flexible manufacturing machines and processes.
no code implementations • 25 Nov 2021 • Anna Himmelhuber, Mitchell Joblin, Martin Ringsquandl, Thomas Runkler
Graph neural networks (GNNs) are quickly becoming the standard approach for learning on graph structured data across several domains, but they lack transparency in their decision-making.