Illustrating graph neural networks (GNNs) and the distinct applications
Pethuru Raj, N. Susila, Sruthy Murugan Usha · Institution of Engineering and Technology eBooks · 2023
The fledgling concept of graph neural network (GNN) has gained a greater acceptance and adoption in the recent past across domains such as social and transport networks, knowledge graphs (KGs), recommendation, expert and question-answering systems, neurons in the brain, and life science that deals with molecular structure. The unique power of GNNs in modeling the intriguing and intimidating dependencies between nodes in a graph has laid down a stimulating environment for envisaging breakthrough results in the graph theory arena. GNN is a special but powerful type of neural networks. GNNs directly operate on the graph-structured data and are capable of assisting in implementing intelligent systems. In short, GNNs are being viewed as an enabling factor and facet of real digital transformation.