Graph Neural Networks (GNNs): A class of deep learning architectures designed for processing data structured as graphs, which enables the extraction of both local and global feature representations.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...