Probabilistic Credit Scoring Neural Network

Construct an advanced neural network architecture for probabilistic credit scoring that goes beyond traditional logistic regression approaches. Develop a deep learning model incorporating attention mechanisms, graph neural networks, and Bayesian uncertainty quantification. Create a comprehensive feature engineering strategy that integrates traditional credit bureau data with alternative data sources like digital footprints, transaction histories, and macroeconomic indicators.