Deep learning has appeared as a powerful paradigm for capturing intricate patterns and representations in complex data, making it particularly well-suited for predicting protein-protein interactions (PPIs). In this section, we explore the application of deep learning architectures, specifically neural networks, to enhance the accuracy and predictive capabilities of PPI prediction models.