What is GGU?

GGU most likely refers to 'Gated GNN Update'. This describes a specific update mechanism used in Graph Neural Networks (GNNs). In a Gated GNN update, information from neighboring nodes is aggregated and combined with the node's current representation using gates (typically based on sigmoid functions) to control the flow of information. These gates determine how much of the new information to incorporate and how much of the old information to retain. This gating mechanism helps the network learn which connections are important and prevents issues like vanishing gradients, which can be a problem in deep GNNs. The technology is used to improve the learning and performance of GNN models.