The interplay between graph analytics and large language models (LLMs) represents a promising frontier for advancing ...

They designed what they called a graph hypernetwork (GHN) to find the best deep neural network architecture to solve some task, given a set of candidate architectures. The name outlines their approach ...

In an article recently submitted to the ArXiv * server, researchers introduced a novel approach named Unlink to Unlearn (UtU) to simplify edge unlearning in graph neural networks (GNNs).

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

The initiative will not have a dedicated physical location but will operate virtually with teams and activities centered in a ...