GitHub

Graph-Adaptive Activation Functions for Graph Neural Networks

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 ...
GitHub

list-of-worksheet-functions-available-to-visual-basic.md

The following list represents all of the worksheet functions that can be called using the WorkSheetFunction object. For more information about a particular function, see the Excel functions (by ...
InfoWorld

Build on Excel using the Microsoft Graph API

Excel is probably Microsoft’s most popular developer tool. With a built-in functional programming language that now supports lambdas and variables, Excel has become a tool that people build businesses ...
IEEE

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Abstract: Graph signals are signals with an irregular structure that can be described by a graph. Graph neural networks (GNNs) are information processing architectures tailored to these graph signals ...