BioAgent-RAG: A Knowledge-Graph-Augmented Multi-Agent LLM Framework with Self-Reflective Verification for Explainable Drug Repurposing
Biomedical Knowledge Graphs (KGs) such as PrimeKG and Hetionet offer vast structured repositories for clinical discovery; however, conventional Graph Neural Networks (GNNs) suffer from black-box opacity, while standard Retrieval-Augmented Generation (RAG) paradigms face catastrophic hallucinations and biological implau...
Ali Asghari, Abbas Barzegarinezhad
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