Abstract: Graph neural networks lose a lot of their computing power when more network layers are added. As a result, the majority of existing graph neural networks have a shallow depth of learning.

In today's lecture, we learned how computers work. PCs, smartphones, game consoles, web services, and generative AI. These may look completely different at first glance, but they share a common ...

Abstract: Detecting the components in aerial images is a crucial task in automatic visual inspection for power lines. Currently, deep learning models guided by external knowledge have achieved ...