Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an application- and ...

Recently, graph neural networks (GNNs), which can enable modeling relations and interactions between different tabular data elements, has received tremendous attention across application domains ...

As we know, power flow calculation is fundamental to power systems. Currently, the mainstream power flow algorithms utilize programming for power flow calculations. However, when faced with line ...

When I use reshape in python with cudnn to build a computational graph, it always throws an error, not sure if it's because of my usage method. The following is the specific code, mainly used in ...