Abstract: Graph-based data are very ubiquitous in many real-world scenarios, and it is usually difficult to mine valuable information from the large scale graphs because of traditional sparse and high ...

In order to work with gradients and straight lines successfully, a good understanding of coordinates and linear graphs is needed. The gradient of a line is calculated by dividing the difference in 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 ...

When trying to use a "color_gradient" to style the area under a graph, the area seems to "leak" from where it should be, generating very weird look from manimlib ...