Can Neural Structured Learning be used with data for which there is no natural graph?
Saturday, 13 April 2024
by ankarb
Neural Structured Learning (NSL) is a machine learning framework that integrates structured signals into the training process. These structured signals are typically represented as graphs, where nodes correspond to instances or features, and edges capture relationships or similarities between them. In the context of TensorFlow, NSL allows you to incorporate graph-regularization techniques during the training