Neural Structured Learning (NSL) is a technique that enhances model accuracy and robustness by leveraging graph-structured data during the training process. It is particularly useful when dealing with data that contains relationships or dependencies among the samples. NSL extends the traditional training process by incorporating graph regularization, which encourages the model to generalize well on