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 bianca.iancu026@gmail.com or ...

Graphs of exponential functions and logarithmic functions provide a visual insight into their properties, such as growth, decay, and the inverse relationship between them. Graphs of exponential ...

Last week, I worked on the graphs of functions, a new task in my maths book. Learning about how to sketch the graphs was time well spent. I learnt that the shape of Y=kX^n is different, depending on k ...

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 ...

I have just finished doing Graphs of Functions in maths. It was not easy to understand but I managed to solve questions. And I also enjoyed drawing graphs for the questions.

Abstract: We introduce and characterize those Boolean functions (graph functions) which can be regarded as characteristic functions of graphs of other Boolean functions. An algorithm for detecting ...

Graph Functions in this section are used to extract values from, and transform values to, the pseudo-columns used in SQL Graph. Use the functions described on the pages in this section to extract ...