This is a PyTorch implementation of graph-adaptive activation functions for Graph Neural Networks (GNNs). For any questions or suggestions, please e-mail Bianca Iancu at [email protected] or ...

Abstract: Much of the early domain-specific success with graph analytics has been with algorithms whose results are based on global graph structure. An example of such an algorithm is betweenness ...

Microsoft adds a graphing function to the Windows Calculator. It is the first new feature to be added since the app was made open source at the beginning of this month. The code of Windows Calculator ...

A mathematical function is a formula that takes an input, x, applies a set of calculations to it, and produces an output called y. By calculating a function at a large number of set intervals, it is ...

There are a series of points rising from left to right. If you had to describe this graph, you’d likely say something like, ‘as the horizontal (x-axis) values increase, the vertical (y-axis) values ...

Explore the amplitude, period, and phase shift by examining the graphs of various trigonometric functions. Students can select values to use within the function to explore the resulting changes in the ...

Abstract: In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs a graph ...