Convolution is a mathematical operation used to combine two functions to produce a third function. It is integral in analyzing linear systems and filters, particularly in signal processing.

Unlike the traditional graph convolution network model (GCN), we utilize the concept of centrality to enhance the ability of graph convolution networks to deal with the inner relationship in ...

As an efficient and energy-saving system, the electric drive system has been widely promoted and popularized in various fields of society, and has a far-reaching impact on related fields, which has ...

Convolution in frequency domain can help you understand how a filter or a system affects the frequency components of a signal. If you plot the magnitude and phase of the Fourier transform of the ...

This is the official code of Fast Fourier Convolution for image classification on ImageNet. To train a model, run main.py with the desired model architecture and other super-paremeters: python main.py ...