Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: Data-driven garment animation is a current topic of interest in the computer graphics industry. Existing approaches generally establish the mapping between a single human pose or a temporal ...

Have you ever wondered if a simple note-taking app could transform the way you work, create, and stay organized? In 2025, Apple Notes has shattered its humble beginnings, evolving into a powerhouse of ...

For most of the golf season there is one winner to talk about at the end of every golf tournament. True, there are also 155 losers but we don’t tend to see it that way. But when the campaign thunders ...