PyTorch is one of the most widely respected deep learning frameworks, particularly in academic and research settings. Its dynamic computation graph provides unmatched flexibility, making it ideal ...

Accordingly, one very popular GNN architecture is the graph convolutional neural network (GCN), which uses convolution layers to create graph embeddings. Applications of graph neural networks.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

image: The framework of Soft-GNN. view more . Credit: Yao WU, Hong HUANG, Yu SONG, Hai JIN. Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data ...