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.

This poor seal had been carrying fatal fishing line loops around his neck for far too long. With every day that passed, the loops tightened further, turning a simple piece of fishing line into a slow ...

Abstract: Capturing the semantics of objects and the topological relationship allows the robot to describe the scene more intelligently like a human and measure the similarity between scenes (loop ...

SINGAPORE: With its curved ceilings and stained glass murals, commuters arriving at the new Cantonment MRT station may be forgiven for thinking they had stepped into a historical building. The ...