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Large Language Models are related to knowledge graph reasoning due to the explainability barriers caused by their probabilistic nature in such tasks [1], and specific methods like 'ChatRule' that leverage LLMs to mine logical rules for knowledge graph reasoning [2].
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Practices, opportunities and challenges in the fusion of knowledge ... frontiersin.org 2 facts
referenceLuo et al. (2023a) proposed 'ChatRule', a method for mining logical rules with large language models for knowledge graph reasoning, in the preprint 'Chatrule: mining logical rules with large language models for knowledge graph reasoning'.
claimThe probabilistic nature of Large Language Models (LLMs) creates fundamental explainability barriers in knowledge graph reasoning tasks.