6 citations · 6 across the 2 of their papers we have counts for
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★ 6 cited
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…