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Knowledge graphs and deep neural networks are related through their integration in large language models, where symbolic logic from knowledge graphs combines with deep neural networks to create hybrid models with entangled attention weights and vector operations, as per [1].
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Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 1 fact
claimThe integration of symbolic logic from knowledge graphs with deep neural networks in large language models creates hybrid models where decisions emerge from entangled attention weights and vector operations, making reasoning paths difficult to trace.