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6 changes: 3 additions & 3 deletions .github/workflows/docs.yml
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Expand Up @@ -16,14 +16,14 @@ jobs:
with:
version: '1.10.4'
- name: Install dependencies
run: julia --project=docs/ -e '
run: julia --project=GraphNeuralNetworks/docs/ -e '
using Pkg;
Pkg.develop([PackageSpec(path=pwd()),
Pkg.develop([PackageSpec(path=joinpath(pwd(), "GraphNeuralNetworks")),
PackageSpec(path=joinpath(pwd(), "GNNGraphs")),
PackageSpec(path=joinpath(pwd(), "GNNlib"))]);
Pkg.instantiate();'
- name: Build and deploy
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # For authentication with GitHub Actions token
DOCUMENTER_KEY: ${{ secrets.DOCUMENTER_KEY }}
run: julia --project=docs/ docs/make.jl
run: julia --project=GraphNeuralNetworks/docs/ GraphNeuralNetworks/docs/make.jl
6 changes: 3 additions & 3 deletions .github/workflows/test_GraphNeuralNetworks.yml
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Expand Up @@ -37,12 +37,12 @@ jobs:
# dev mono repo versions
pkg"registry up"
Pkg.update()
pkg"dev ./GNNGraphs ./GNNlib ."
pkg"dev ./GNNGraphs ./GNNlib ./GraphNeuralNetworks"
Pkg.test("GraphNeuralNetworks"; coverage=true)
- uses: julia-actions/julia-processcoverage@v1
with:
# directories: ./src, ./ext
directories: ./src
# directories: ./GraphNeuralNetworks/src, ./GraphNeuralNetworks/ext
directories: ./GraphNeuralNetworks/src
- uses: codecov/codecov-action@v4
with:
files: lcov.info
2 changes: 1 addition & 1 deletion GNNLux/LICENSE
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@@ -1,6 +1,6 @@
MIT License

Copyright (c) 2024 Carlo Lucibello <[email protected]> and contributors
Copyright (c) 2021 Carlo Lucibello <[email protected]> and contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
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21 changes: 21 additions & 0 deletions GraphNeuralNetworks/LICENSE
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MIT License

Copyright (c) 2021 Carlo Lucibello <[email protected]> and contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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55 changes: 55 additions & 0 deletions GraphNeuralNetworks/README.md
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<img align="right" width="300px" src="https://raw.githubusercontent.com/CarloLucibello/GraphNeuralNetworks.jl/master/docs/src/assets/logo.svg">


# GraphNeuralNetworks.jl

[![](https://img.shields.io/badge/docs-stable-blue.svg)](https://CarloLucibello.github.io/GraphNeuralNetworks.jl/stable)
[![](https://img.shields.io/badge/docs-dev-blue.svg)](https://CarloLucibello.github.io/GraphNeuralNetworks.jl/dev)
![](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/actions/workflows/ci.yml/badge.svg)
[![codecov](https://codecov.io/gh/CarloLucibello/GraphNeuralNetworks.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/CarloLucibello/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).

Among its features:

* Implements common graph convolutional layers.
* Supports computations on batched graphs.
* Easy to define custom layers.
* CUDA support.
* Integration with [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl).
* [Examples](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) of node, edge, and graph level machine learning tasks.
* Heterogeneous and temporal graphs.

## Installation

GraphNeuralNetworks.jl is a registered Julia package. You can easily install it through the package manager:

```julia
pkg> add GraphNeuralNetworks
```

## Usage

Usage examples can be found in the [examples](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) and in the [notebooks](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/notebooks) folder. Also, make sure to read the [documentation](https://CarloLucibello.github.io/GraphNeuralNetworks.jl/dev) for a comprehensive introduction to the library.


## Citing

If you use GraphNeuralNetworks.jl in a scientific publication, we would appreciate the following reference:

```
@misc{Lucibello2021GNN,
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/CarloLucibello/GraphNeuralNetworks.jl}
}
```

## Acknowledgments

GraphNeuralNetworks.jl is largely inspired by [PyTorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/), [Deep Graph Library](https://docs.dgl.ai/),
and [GeometricFlux.jl](https://fluxml.ai/GeometricFlux.jl/stable/).


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2 changes: 1 addition & 1 deletion README.md
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<img align="right" width="300px" src="https://raw.githubusercontent.com/CarloLucibello/GraphNeuralNetworks.jl/master/docs/src/assets/logo.svg">
<img align="right" width="300px" src="https://raw.githubusercontent.com/CarloLucibello/GraphNeuralNetworks.jl/master/GraphNeuralNetworks/docs/src/assets/logo.svg">


# GraphNeuralNetworks.jl
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