In recent years, there has been a growing prevalence of deep learning in various domains, owing to advancements in information technology and computing power. Graph neural network methods within deep ...

Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

Graphs provide a powerful way to model data in many real-world applications, such as the World Wide Web, social networks and communication networks. Predictions and classification tasks related to ...