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GraphMERT is a modular neurosymbolic stack consisting of two parts: Neural Learning, which learns and distills complex syntactic-to-semantic abstractions from a domain-specific corpus, and Symbolic Reasoning, which outputs a verifiable, explicit Knowledge Graph for transparent and robust reasoning.

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