Feb. 7, 2024, 5:46 a.m. | Lauren Nicole DeLongThe University of Edinburgh School of Informatics, Artificial Intelligence,its Applications Institute Ramon Fern\'andez Mi

stat.ML updates on arXiv.org arxiv.org

Neurosymbolic AI is an increasingly active area of research that combines symbolic reasoning methods with deep learning to leverage their complementary benefits. As knowledge graphs are becoming a popular way to represent heterogeneous and multi-relational data, methods for reasoning on graph structures have attempted to follow this neurosymbolic paradigm. Traditionally, such approaches have utilized either rule-based inference or generated representative numerical embeddings from which patterns could be extracted. However, several recent studies have attempted to bridge this dichotomy to generate …

benefits cs.ai cs.lo data deep learning graph graphs knowledge knowledge graphs paradigm popular reasoning relational research stat.ml survey symbolic reasoning

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