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, ...
Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
Abstract: Reconstructing three-dimensional (3D) images is imperative in computer vision because it assists in restoring the 3D structure of a scene. However, challenges like accurate matching in ...