Graph Neural Networks (GNNs) and network embedding techniques have emerged as powerful tools for analyzing and interpreting complex data structures represented as graphs. These methods are ...

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

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).

Mobile advertisements have evolved into a significant revenue stream, enabling developers to reach larger audiences. However, ...