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traditional-chinese-medicine

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This project implements a Graph Neural Network (GNN) model for classifying molecules in the context of Traditional Chinese Medicine drug-likeness. The model uses molecular graph representations and deep learning techniques to predict whether a given molecule is druglike

  • Updated Sep 28, 2024
  • Jupyter Notebook

Evidence-synthesis RAG assistant for TCM practitioners — hybrid vector + knowledge graph retrieval over 17 classical texts, with query classification, self-critique verification, and blind A/B arena evaluation.

  • Updated Apr 11, 2026
  • Python

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