Any straight line graph has a constant gradient, which is calculated by the change in 𝑦 divided by the change in 𝑥, along any section of the graph. The gradient is measuring the steepness of the ...

Abstract: Graph self-supervised learning aiming to learn the graph representation without much label information is an important tasks in data mining and machine learning since labeled graph data is ...

Abstract: Creating an image gradient is a transformation process that aims to enhance desirable properties of an image, whilst leaving aside noise and non-descriptive characteristics. Many algorithms ...

In this paper, we propose a method for bracing direction optimization of grid shells using a Deep Deterministic Policy Gradient (DDPG) and Graph Convolutional Network (GCN). DDPG allows simultaneous ...