Hi, thank you for sharing the code. Regarding the Interactive Convolution Block, it is written in the paper: ``The element-wise multiplication encourages interactions between features extracted at ...

Abstract: As deep learning (DL) with its powerful fitting representation ability is increasingly applied in intelligent fault diagnosis of mechanical equipment, the interpretability of networks ...

Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in ...

Computer scientists have discovered a new way to multiply large matrices faster than ever before by eliminating a previously unknown inefficiency, reports Quanta Magazine. This could eventually ...

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...

I have got a question about the implementaion of graph convolution in this repository. According to your code here, your graph is normalized column-wise. But the matrix multiplication here seems to ...

The brain-computer interface (BCI) of steady-state visual evoked potential (SSVEP) is one of the fundamental ways of human-computer communication. The main challenge is that there may be a nonlinear ...