Intelligent Perception Computing And Graph Neural Networks: Algorithms, Applications, And New Challenges

This article discusses the use of graph neural networks (GNNs) in intelligent perception, specifically in the field of federated learning and the Internet of Things (IoT). GNNs have shown great potential in addressing challenges such as handling complex and heterogeneous data, processing large-scale information, and adapting to dynamic environments. However, there are still open issues and limitations that need to be addressed in order for GNNs to reach their full potential.