An exponential function is a mathematical function in the form of \( f(x) = a^x \) where \(x\) is an exponent and \(a\) is a constant (also known as the base) and where \( a \in \mathbb{R}^+ \) and \( ...

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 ...

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 ...

Create, modify and save animations with graph UI. No coding needed Create synchronized animation groups for repeating a single animation on multiple objects General purpose tweening engine Extensions ...

Fractal interpolation function (FIF) is a special type of continuous function which interpolates certain data set and the attractor of the Iterated Function System (IFS) corresponding to a data set is ...

HOPE consists of four steps to predict microbial functions, including data input, microbial co-occurrence network construction, graph embedding generation, and function prediction. The input are 16s ...

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 ...

Abstract: Given a bipartite graph of collaborative ratings, the task of recommendation and rating prediction can be modeled with graph kernels. We interpret these graph kernels as the inverted squared ...