IEEE

Bridge Graph Attention Based Graph Convolution Network With Multi-Scale Transformer for EEG ...

Abstract: In multichannel electroencephalograph (EEG) emotion recognition, most graph-based studies employ shallow graph model for spatial characteristics learning due to node over-smoothing caused by ...
IEEE

Empowering Simple Graph Convolutional Networks

Abstract: Many neural networks for graphs are based on the graph convolution (GC) operator, proposed more than a decade ago. Since then, many alternative definitions have been proposed, which tend to ...
Investopedia

Positive Economics History, Theory, Pros and Cons, and Example

Christina Majaski writes and edits finance, credit cards, and travel content. She has 14+ years of experience with print and digital publications. Robert Kelly is managing director of XTS Energy LLC, ...
Investopedia

The Power of Compound Interest: Calculations and Examples

Discover the magic of compounding and why it's important for increasing wealth Robert Kelly is managing director of XTS Energy LLC, and has more than three decades of experience as a business ...