Pharmaceutical Drug Interaction Risk Prediction

Develop a comprehensive Python-based system for predicting potential drug interactions using graph neural networks and advanced machine learning techniques. Create a knowledge graph integrating chemical structure data, pharmacological databases, and clinical trial information. Implement a risk scoring mechanism that provides explainable predictions and supports real-time querying of potential interaction risks.