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 ...

Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking ... approach to language understanding: "Deep learning is the umbrella theme of the ...

“This strategic investment in graph deep learning research ... on social media vs real news as akin to “a very simplified model of how a disease spreads on the network”.

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...