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 Artificial Neural Network market was USD 248M in 2023 and is expected to reach USD 1256M by 2032, growing at a 19.79% CAGR from 2024 to 2032.