Final project for Graph Database course — medical knowledge graph using Neo4j with LLM Text-to-Cypher, Graph Analytics (PageRank, Louvain), FastRP embeddings, and Graph-Augmented RAG over 100 diseases and 1,612 nodes.
python neo4j pagerank healthcare llama louvain graph-analytics fastrp openrouter llm-rag text-to-cypher llm-graph
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Updated
Jul 22, 2026 - Jupyter Notebook