From 15055d85b7610da46924193ccdb3eaeb1f771c2c Mon Sep 17 00:00:00 2001 From: Carlo Lucibello Date: Sun, 3 Nov 2024 12:59:49 +0100 Subject: [PATCH] fix readme --- README.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index ceb716a93..1cb508a46 100644 --- a/README.md +++ b/README.md @@ -1,12 +1,12 @@ - + # GraphNeuralNetworks.jl -[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://GraphNeuralNetworks.github.io/GraphNeuralNetworks.jl/stable) -[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://GraphNeuralNetworks.github.io/GraphNeuralNetworks.jl/dev) -![](https://github.com/GraphNeuralNetworks/GraphNeuralNetworks.jl/actions/workflows/ci.yml/badge.svg) -[![codecov](https://codecov.io/gh/GraphNeuralNetworks/GraphNeuralNetworks.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/GraphNeuralNetworks/GraphNeuralNetworks.jl) +[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://JuliaGraphs.github.io/GraphNeuralNetworks.jl/stable) +[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://JuliaGraphs.github.io/GraphNeuralNetworks.jl/dev) +![](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/actions/workflows/ci.yml/badge.svg) +[![codecov](https://codecov.io/gh/JuliaGraphs/GraphNeuralNetworks.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/JuliaGraphs/GraphNeuralNetworks.jl) GraphNeuralNetworks.jl is a graph neural network library written in Julia and based on the deep learning framework [Flux.jl](https://github.com/FluxML/Flux.jl). @@ -18,7 +18,7 @@ Among its features: * Easy to define custom layers. * CUDA support. * Integration with [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl). -* [Examples](https://github.com/GraphNeuralNetworks/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks. +* [Examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks. * Heterogeneous and temporal graphs. ## Installation @@ -31,7 +31,7 @@ pkg> add GraphNeuralNetworks ## Usage -Usage examples can be found in the [examples](https://github.com/GraphNeuralNetworks/GraphNeuralNetworks.jl/tree/master/examples) and in the [notebooks](https://github.com/GraphNeuralNetworks/GraphNeuralNetworks.jl/tree/master/notebooks) folder. Also, make sure to read the [documentation](https://GraphNeuralNetworks.github.io/GraphNeuralNetworks.jl/dev) for a comprehensive introduction to the library. +Usage examples can be found in the [examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) and in the [notebooks](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/notebooks) folder. Also, make sure to read the [documentation](https://JuliaGraphs.github.io/GraphNeuralNetworks.jl/dev) for a comprehensive introduction to the library. ## Citing @@ -43,7 +43,7 @@ If you use GraphNeuralNetworks.jl in a scientific publication, we would apprecia author = {Carlo Lucibello and other contributors}, title = {GraphNeuralNetworks.jl: a geometric deep learning library for the Julia programming language}, year = 2021, - url = {https://github.com/GraphNeuralNetworks/GraphNeuralNetworks.jl} + url = {https://github.com/JuliaGraphs/GraphNeuralNetworks.jl} } ```