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).

The initiative will not have a dedicated physical location but will operate virtually with teams and activities centered in a few key locations such as Madrid, Málaga, and Cairo to start. With ...