Despite its computational advantages offered by GPUs in GNN training, the limited GPU memory capacity struggles to accommodate large-scale graph data, making scalability a significant challenge for ...

School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China ...

However, existing methods lack the consideration of multi-scale information and tend to focus on extracting local graph features, especially overlooking the interdependencies between graph-level ...

Existing GNN models that tackle MIP problems are mostly constructed from mathematical formulation, which is computationally expensive when dealing with large-scale UC problems. In this paper, we ...

The modified Rankin Scale (mRS) is a key measure of functional outcomes in stroke trials. To minimize variability, structured tools like the Rankin Focused Assessment and central adjudication are ...

This graph shows the devastating impact of coronavirus on the number of people dying in the northwest compared to previous years. Data released by the Office For National Statistics (ONS ...