Nature

AAGCN: a graph convolutional neural network with adaptive feature and topology learning

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 ...
Nature

Graph embedding tensor: unifying topological description, symmetry detection, and structure generation for two-dimensional carbon allotropes

Graphene stands as the ultimate atomically thin two-dimensional material, consisting of a single atomic layer of carbon atoms arranged in a hexagonal honeycomb lattice 1. As the archetypal 2D material ...