Research on Facial Recognition Method of Visual Graph Neural Network
In recent years,with the rapid development of deep learning technology,a facial recognition method based on Visual Graph Neural Networks(VGNN)has attracted extensive attention.VGNN is a deep learning method that has emerged in recent years.It represents images as graph structures and learns the characteristics and re-lationships of images through neural networks.In the field of facial recognition,the Graph Neural Network(GNN)can complete the task of face recognition by learning the relationship between face images.Firstly,the basic theory and architecture of GNN are introduced;Secondly,the architecture and training method of neural network model based on visual graphs are expounded in detail,and the experimental verification is carried out.The research achievements can provide reference and guidance for the subsequent facial recognition research.
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维普
