Abstract: We propose Graph2Nav, a real-time 3D object-relation graph generation framework, for autonomous navigation in the real world. Our framework fully generates and exploits both 3D objects and a ...

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, ...

A MATLAB implementation of the FDK (Feldkamp-Davis-Kress) algorithm for 3D volume reconstruction from 2D X-ray projection images. 基于二维X射线投影图像的FDK（Feldkamp-Davis-Kress）算法的MATLAB实现，用于三维体数据重建。

This repository contains the implementation and experiments for exploring E(3)-equivariance in Graph Neural Networks (GNNs). It demonstrates how incorporating geometric symmetry in GNNs can improve ...

Goal 2 is about creating a world free of hunger by 2030. The global issue of hunger and food insecurity has shown an alarming increase since 2015, a trend exacerbated by a combination of factors ...

An inherent principle of publication is that others should be able to replicate and build upon the authors' published claims. A condition of publication in a Nature Portfolio journal is that authors ...