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 ...

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 ...

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 ...

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 ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...