The purpose of the Neural Structured Learning (NSL) framework is to enable training of machine learning models on graphs and structured data. It provides a set of tools and techniques that allow developers to incorporate graph-based regularization into their models, improving their performance on tasks such as classification, regression, and ranking. Graphs are a powerful