For almost a century, psychologists and neuroscientists have been trying to understand how humans memorize different types of ...
Abstract: Benefiting from the principles of information aggregation and multi-layer stacking, graph neural networks (GNNs) have achieved remarkable success in graph-structured data tasks. However, ...
Abstract: Image processing is one of the most promising applications for quantum machine learning. Quanvolutional neural networks with nontrainable parameters are the preferred solution to run on ...