2 papers
cs.AI2024
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks
Dominik Köhler, Stefan Heindorf
Graph Neural Networks (GNNs) are effective for node classification in graph-structured data, but they lack explainability, especially at the global level. Current research mainly u…
cs.AI2023
Causal Question Answering with Reinforcement Learning
Lukas Blübaum, Stefan Heindorf
Causal questions inquire about causal relationships between different events or phenomena. They are important for a variety of use cases, including virtual assistants and search en…