Advanced Content Recommendation Graph Neural Network

Design a graph neural network-based recommendation system using PyTorch Geometric that can model complex content relationships and user preferences. Implement a multi-modal embedding approach that integrates content metadata, user interaction history, and semantic features. Create a dynamic graph representation that can be updated in real-time, with support for cold-start user recommendations and personalized content clustering. Include comprehensive evaluation metrics and model interpretability tools.