In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global context.

In this paper, we propose a novel correlation-guided registration network (CGNet) specifically designed for deformable medical image registration tasks, which achieves a reasonable and accurate ...

If you fabricate metal products, understanding your material’s properties is key to your success. One valuable tool to help you measure material behavior during deformation and predict production ...