From 22f032ee0bfb51ac808bdb1c7d11e9a73e7df9a9 Mon Sep 17 00:00:00 2001 From: Aurora Rossi Date: Sun, 3 Nov 2024 22:06:34 +0100 Subject: [PATCH] Change repo --- GNNGraphs/docs/make.jl | 2 +- GNNGraphs/docs/src/datasets.md | 2 +- GNNLux/docs/make.jl | 2 +- GNNlib/docs/make.jl | 2 +- GraphNeuralNetworks/docs/make.jl | 2 +- GraphNeuralNetworks/docs/src/home.md | 6 +++--- tutorials/docs/make.jl | 2 +- tutorials/docs/src/index.md | 2 +- 8 files changed, 10 insertions(+), 10 deletions(-) diff --git a/GNNGraphs/docs/make.jl b/GNNGraphs/docs/make.jl index 7992df83d..06b870bb1 100644 --- a/GNNGraphs/docs/make.jl +++ b/GNNGraphs/docs/make.jl @@ -29,5 +29,5 @@ makedocs(; -deploydocs(;repo = "https://github.com/CarloLucibello/GraphNeuralNetworks.jl.git", +deploydocs(;repo = "https://github.com/JuliaGraphs/GraphNeuralNetworks.jl.git", dirname = "GNNGraphs") \ No newline at end of file diff --git a/GNNGraphs/docs/src/datasets.md b/GNNGraphs/docs/src/datasets.md index 01433a333..60477d95e 100644 --- a/GNNGraphs/docs/src/datasets.md +++ b/GNNGraphs/docs/src/datasets.md @@ -1,6 +1,6 @@ # Datasets -GNNGraphs.jl doesn't come with its own datasets, but leverages those available in the Julia (and non-Julia) ecosystem. In particular, the [examples in the GraphNeuralNetworks.jl repository](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) make use of the [MLDatasets.jl](https://github.com/JuliaML/MLDatasets.jl) package. There you will find common graph datasets such as Cora, PubMed, Citeseer, TUDataset and [many others](https://juliaml.github.io/MLDatasets.jl/dev/datasets/graphs/). +GNNGraphs.jl doesn't come with its own datasets, but leverages those available in the Julia (and non-Julia) ecosystem. In particular, the [examples in the GraphNeuralNetworks.jl repository](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) make use of the [MLDatasets.jl](https://github.com/JuliaML/MLDatasets.jl) package. There you will find common graph datasets such as Cora, PubMed, Citeseer, TUDataset and [many others](https://juliaml.github.io/MLDatasets.jl/dev/datasets/graphs/). For graphs with static structures and temporal features, datasets such as METRLA, PEMSBAY, ChickenPox, and WindMillEnergy are available. For graphs featuring both temporal structures and temporal features, the TemporalBrains dataset is suitable. GraphNeuralNetworks.jl provides the [`mldataset2gnngraph`](@ref) method for interfacing with MLDatasets.jl. diff --git a/GNNLux/docs/make.jl b/GNNLux/docs/make.jl index 5bd9dad10..ce1fa551d 100644 --- a/GNNLux/docs/make.jl +++ b/GNNLux/docs/make.jl @@ -22,5 +22,5 @@ makedocs(; -deploydocs(;repo = "https://github.com/CarloLucibello/GraphNeuralNetworks.jl.git", +deploydocs(;repo = "https://github.com/JuliaGraphs/GraphNeuralNetworks.jl.git", dirname = "GNNLux") \ No newline at end of file diff --git a/GNNlib/docs/make.jl b/GNNlib/docs/make.jl index 2b42b4c47..b32bd824b 100644 --- a/GNNlib/docs/make.jl +++ b/GNNlib/docs/make.jl @@ -36,5 +36,5 @@ makedocs(; -deploydocs(;repo = "https://github.com/CarloLucibello/GraphNeuralNetworks.jl.git", +deploydocs(;repo = "https://github.com/JuliaGraphs/GraphNeuralNetworks.jl.git", dirname = "GNNlib") \ No newline at end of file diff --git a/GraphNeuralNetworks/docs/make.jl b/GraphNeuralNetworks/docs/make.jl index eb84c3dbd..6f07c5031 100644 --- a/GraphNeuralNetworks/docs/make.jl +++ b/GraphNeuralNetworks/docs/make.jl @@ -48,4 +48,4 @@ makedocs(; -deploydocs(;repo = "https://github.com/CarloLucibello/GraphNeuralNetworks.jl.git", dirname= "GraphNeuralNetworks") +deploydocs(;repo = "https://github.com/JuliaGraphs/GraphNeuralNetworks.jl.git", dirname= "GraphNeuralNetworks") diff --git a/GraphNeuralNetworks/docs/src/home.md b/GraphNeuralNetworks/docs/src/home.md index 61507d2c3..2ccebefd0 100644 --- a/GraphNeuralNetworks/docs/src/home.md +++ b/GraphNeuralNetworks/docs/src/home.md @@ -1,6 +1,6 @@ # GraphNeuralNetworks -This is the documentation page for [GraphNeuralNetworks.jl](https://github.com/CarloLucibello/GraphNeuralNetworks.jl), a graph neural network library written in Julia and based on the deep learning framework [Flux.jl](https://github.com/FluxML/Flux.jl). +This is the documentation page for [GraphNeuralNetworks.jl](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl), a graph neural network library written in Julia and based on the deep learning framework [Flux.jl](https://github.com/FluxML/Flux.jl). 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/). @@ -11,7 +11,7 @@ Among its features: * Easy to define custom layers. * CUDA support. * Integration with [Graphs.jl](https://github.com/JuliaGraphs/Graphs.jl). -* [Examples](https://github.com/CarloLucibello/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. ## Package overview @@ -19,7 +19,7 @@ Among its features: Let's give a brief overview of the package by solving a graph regression problem with synthetic data. -Usage examples on real datasets can be found in the [examples](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/tree/master/examples) folder. +Usage examples on real datasets can be found in the [examples](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/tree/master/examples) folder. ### Data preparation diff --git a/tutorials/docs/make.jl b/tutorials/docs/make.jl index 78755a97e..41a9e20dc 100644 --- a/tutorials/docs/make.jl +++ b/tutorials/docs/make.jl @@ -30,5 +30,5 @@ makedocs(; -deploydocs(; repo = "https://github.com/CarloLucibello/GraphNeuralNetworks.jl.git", +deploydocs(; repo = "https://github.com/JuliaGraphs/GraphNeuralNetworks.jl.git", dirname = "tutorials") \ No newline at end of file diff --git a/tutorials/docs/src/index.md b/tutorials/docs/src/index.md index 8e21e6db8..af1b57997 100644 --- a/tutorials/docs/src/index.md +++ b/tutorials/docs/src/index.md @@ -21,4 +21,4 @@ Here some tutorials on temporal graph neural networks: ## Contributions -If you have a suggestion on adding new tutorials, feel free to create a new issue [here](https://github.com/CarloLucibello/GraphNeuralNetworks.jl/issues/new). Users are invited to contribute demonstrations of their own. If you want to contribute new tutorials and looking for inspiration, checkout these tutorials from [PyTorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/notes/colabs.html). Please check out existing tutorials for more details. \ No newline at end of file +If you have a suggestion on adding new tutorials, feel free to create a new issue [here](https://github.com/JuliaGraphs/GraphNeuralNetworks.jl/issues/new). Users are invited to contribute demonstrations of their own. If you want to contribute new tutorials and looking for inspiration, checkout these tutorials from [PyTorch Geometric](https://pytorch-geometric.readthedocs.io/en/latest/notes/colabs.html). Please check out existing tutorials for more details. \ No newline at end of file