Abstract: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

News of plots emerge as Sharaa visits Washington One plot centered around official engagement, sources say Sharaa has battled against Islamic State for years Sharaa is seeking to attract Western ...

For executives, the ability to read a shifting and volatile environment is crucial. So who better to ask what the business world is like at the moment than other executives? So, for the fourth year in ...

ON SEPTEMBER 10th Charlie Kirk, a right-wing activist, was shot dead while speaking at a university in Utah. Although a suspect is in custody, the motive of the killer is still unknown. President ...

A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...

A comprehensive PyTorch-based system for predicting cryptocurrency prices using a state-of-the-art Spatial-Temporal Graph Neural Network (ST-GNN) model. This advanced implementation integrates ...

Mr. Rattner was counselor to the Treasury secretary in the Obama administration. Donald Trump triumphs. The economy chugs along. A tech billionaire builds a shadow presidency. These are just some of ...

Knowledge graphs are reshaping how we organize and make sense of information. By connecting data points and revealing relationships between them, these powerful tools are transforming industries, from ...