A Comprehensive Study of Graph Neural Networks: Types and Application
This systematic review presents a comprehensive analysis of graph neural networks (GNNs), focusing on their major types and applications. GNNs have emerged as an effective deep learning (DL) method for modelling and analysing intricate relationships in graph‐structured data. Their versatility has led to widespread ad...