Neurosymbolic background knowledge and the expressivity required of its logic can break
Machine Learning assumptions about data Independence and Identical Distribution. In this …

Neuro-Symbolic approaches bring together symbolic logic and neural network-based
machine learning. This has the potential to build robust reasoning systems. However, the …

Recently, there has been significant progress in the development of robust and highly
scalable neuro-symbolic description logic reasoners. However, the field faces challenges …