How to Use Graph Neural Networks for Text Classification?

The graph neural networks are trending because of their applications in a variety of predictive analytics tasks. When it comes to modelling the data available with graphical representations, graph neural networks outperform other machine learning or deep learning algorithms. In the field of natural language processing as well, graph neural networks are being applied in a full swing because of their capabilities to model complex text representations. In this article, we will discuss one such interesting application of graph neural networks, i.e., in text classification. First, we will understand how this framework works to model the text representations and then we will explore how it can be used for text classification.