Predictive Supply Chain Financial Risk Assessment

Create a Python-based predictive analytics platform that assesses financial risks within complex global supply chains. Utilize graph neural networks to model interdependencies, implement machine learning classifiers to predict supplier financial instability, and generate dynamic risk scoring mechanisms. The solution must integrate external data sources, economic indicators, and real-time financial signals to provide actionable risk insights.