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Current limitations in domain-specific knowledge graph applications include the inability of manual and rule-based methods to handle large-scale, unstructured data or deep semantics, the scarcity of labeled data required by deep models in restricted domains, and the high cost and inefficiency of traditional full-parameter tuning.

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