Delhi Development Authority aims to fill 104 vacancies for Junior Engineer (Civil) and 67 vacancies for the Junior Engineer ...

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 ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Graph Neural Networks have emerged as a transformative force in many real-life applications, from corporate finance risk management to local traffic prediction. Thereby, there is no gainsaying that ...

Geoff Bertram does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Excel is a widely used spreadsheet software that allows users to analyze and visualize data effectively. One common use of Excel is creating graphs with multiple lines to showcase trends or ...