1 citations · 1 across the 1 of their papers we have counts for
3 papers
MARS: A neurosymbolic approach for interpretable drug discovery
Lauren Nicole DeLong, Yojana Gadiya, Paola Galdi +2
Background: Neurosymbolic (NeSy) artificial intelligence describes the combination of logic or rule-based techniques with neural networks. Compared to neural approaches, NeSy metho…
Neurosymbolic AI for Reasoning on Biomedical Knowledge Graphs
Lauren Nicole DeLong, Ramon Fernández Mir, Zonglin Ji +2
Biomedical datasets are often modeled as knowledge graphs (KGs) because they capture the multi-relational, heterogeneous, and dynamic natures of biomedical systems. KG completion (…
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Lauren Nicole DeLong, Ramon Fernández Mir, Jacques D. Fleuriot
Neurosymbolic AI is an increasingly active area of research that combines symbolic reasoning methods with deep learning to leverage their complementary benefits. As knowledge graph…