A research team from Kumamoto University has developed a promising deep learning model that significantly ... However, conventional Graph Neural Networks (GNNs) often struggle with accuracy ...

That description could very well fit anything from cold fusion to knowledge graphs ... Lin also emphasized that deep learning is not the end all. For example, it was pointed out to her that ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

In a paper published by the Google Brain and the Deep Mind units ... such as set theory. The idea is that graph networks are bigger than any one machine-learning approach. Graphs bring an ability ...