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README.md

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# GeometricFlux.jl
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<p align="center">
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<img width="400px" src="https://github.com/yuehhua/GeometricFlux.jl/raw/master/logos/logo.png"/>
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<img width="400px" src="https://github.com/FluxML/GeometricFlux.jl/raw/master/logos/logo.png"/>
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</p>
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[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://yuehhua.github.io/GeometricFlux.jl/stable)
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[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://yuehhua.github.io/GeometricFlux.jl/dev)
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[![Build Status](https://travis-ci.org/yuehhua/GeometricFlux.jl.svg?branch=master)](https://travis-ci.org/yuehhua/GeometricFlux.jl)
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[![codecov](https://codecov.io/gh/yuehhua/GeometricFlux.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/yuehhua/GeometricFlux.jl)
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[![pipeline status](https://gitlab.com/JuliaGPU/GeometricFlux-jl/badges/master/pipeline.svg)](https://gitlab.com/JuliaGPU/GeometricFlux-jl/commits/master)
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[![coverage report](https://gitlab.com/JuliaGPU/GeometricFlux-jl/badges/master/coverage.svg)](https://gitlab.com/JuliaGPU/GeometricFlux-jl/commits/master)
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[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://fluxml.ai/GeometricFlux.jl/stable)
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[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://fluxml.ai/GeometricFlux.jl/dev)
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![](https://github.com/FluxML/GeometricFlux.jl/actions/workflows/ci.yml/badge.svg)
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[![codecov](https://codecov.io/gh/FluxML/GeometricFlux.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/FluxML/GeometricFlux.jl)
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GeometricFlux is a geometric deep learning library for [Flux](https://github.com/FluxML/Flux.jl). This library aims to be compatible with packages from [JuliaGraphs](https://github.com/JuliaGraphs) ecosystem and have support of CUDA GPU acceleration with [CUDA](https://github.com/JuliaGPU/CUDA.jl). Message passing scheme is implemented as a flexbile framework and fused with Graph Network block scheme. GeometricFlux is compatible with other packages that are composable with Flux.
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