Zhong Tang
In recent years, graph neural network (GNN) has become a research hotspot in various fields, and the application of GNN is explored in various fields, such as natural language processing, computer vision and industrial recommendation applications. GNN is good at processing unstructured data, which enables data to be represented and learned through graphs, strengthens the connection between graphs, and makes new progress in network data analysis, recommendation system, natural language processing and other aspects. This paper mainly analyzes the different graph neural network technology and the different applications of graph neural network, and looks forward to the future development and research direction of graph neural network.
Graph Neural Network; Model; Application; Development