Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks

Graph neural networks (GNNs), which extend traditional neural networks for processing graph-structured data, have been widely used in many fields. The GNN computation mainly consists of the edge processing to generate messages by combining the edge/vertex features and the vertex processing to update the vertex features with aggregated messages. In addition to nont...