Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

Abstract: Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their ...

Recently, Tianjin Yingjie Technology Development Co., Ltd. announced the application for a patent titled "An Optimization Method for Multi-Robot Collaborative Task Scheduling Based on Graph Neural ...

Emotional Interaction｜Guangzhou Ten Thousand Enterprises Win Technology Management Co., Ltd. has recently applied for a remarkable patent titled "Emotional Interaction Method and System Based on Multi ...

Abstract: Graph Neural Network (GNN) aggregates the neighborhood information into the node embedding and shows its powerful capability for graph representation learning in various application areas.