CoCoGraph uses a diffusion model, a technique common in image generation, to generate realistic molecules for therapeutics ...

Abstract: Blind source separation (BSS) is a signal processing subject that has recently been extended to graph signals. Graph signals that are smooth on their own graphs provide an opportunity to ...

Abstract: Deep-learning is widely used in modulation classification to reduce labor and improve the efficiency. Graph convolutional network (GCN) is a type of feature extraction network for graph data ...

The graph theory is an old subject and nowadays it has become a method widely used in various fields of mathematics, computer science, engineering, chemistry, among others. Its application ranges from ...