NetSemantic uses LLM-generated semantic and symbolic descriptions plus a knowledge graph to perform zero-shot network fault diagnosis, reporting 89.5% fault classification accuracy on a digital twin dataset.
Research and application of ai in 5g network operation and maintenance,
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Adapting Network Information into Semantics for Generalizable and Plug-and-Play Multi-Scenario Network Diagnosis
NetSemantic uses LLM-generated semantic and symbolic descriptions plus a knowledge graph to perform zero-shot network fault diagnosis, reporting 89.5% fault classification accuracy on a digital twin dataset.