Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model, for the ...

The Graph Diffusion Convolution (GDC) technique presented in this paper demonstrates how incorporating diffusion processes can enhance graph learning. By leveraging graph diffusion, GDC can ...

Graph diffusion has quite common phenomenons in our daily life, such as misinformation propagation. As the inverse problem of graph diffusion, the goal of source localization is to identify those ...