Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...

Abstract: Aiming at the problems of low processing efficiency of multi-source heterogeneous data, difficulty of cross-level collaboration and high data security risk in government service platform, a ...