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 ...

Yu, now an associate professor at the University of California, San Diego (UCSD), is a leader in a field known as “physics-guided deep learning ... to think of traffic as a graph, from the ...

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 ...

Chief Technologist Federico Monti is a doctoral candidate pursuing research into geometric deep learning. Bronstein will join Twitter as head of graph deep learning. He and the rest of the Fabula ...