Prof. Axel Ngonga "Explainable neurosymbolic machine learning on knowledge graphs"
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Загружено: 2026-02-10
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HNI-Forum February 5th
"Explainable neurosymbolic machine learning on knowledge graphs"
Prof. Dr. Axel-Cyrille Ngonga Ngomo („Data Science“ workgroup, Heinz Nixdorf Institute)
Knowledge graphs underpin a plethora of applications across critical domains such as security and medicine. Their intrinsic support of explainable machine learning has long been overlooked due to its inherent runtime complexity. In this talk, we present novel scalable machine learning approaches for learning on knowledge graphs. We focus on neurosymbolic
approaches that combine symbolic representations with neural machine learning to converge rapidly towards a goal solution.
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