If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

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 ...

AI models capable of parsing such information, known as graph neural networks (GNN s), can be used to identify which sorts of patterns spell danger for a team, and, consequently, what to avoid.

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness ...