Scientific Literature Recommendation Neural Network

Develop a machine learning recommendation system using TensorFlow and scikit-learn that suggests relevant scientific literature to researchers based on their publication history, citation networks, and research interests. Implement a hybrid collaborative and content-based filtering approach that can process academic graph databases, extract semantic relationships between research domains, and provide personalized publication recommendations with confidence scores.