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Graph Machine Learning course, Xavier Bresson, 2023
| Date | Stars |
|---|---|
| 2026-07-31 | 613 |
| 2026-08-04 | 613 |
| 2026-08-06 | 613 |
| 2026-08-13 | 613 |
| 2026-08-14 | 613 |
| 2026-08-18 | 613 |
| 2026-09-16 | 614 |
| 2026-09-20 | 614 |
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# Graph Machine Learning course, 2023 ## Xavier Bresson <img src="pic/gml.jpg" align="right" width="300"/> <br><br> ### Course slides https://storage.googleapis.com/xavierbresson/index.html <br><br> ### Cloud Machine : Google Colab (Free GPU) * Follow this Notebook installation :<br> https://colab.research.google.com/github/xbresson/GML2023/blob/master/codes/installation/installation.ipynb * Open your Google Drive :<br> https://www.google.com/drive * Open in Google Drive Folder 'GML2023' and go to Folder 'GML2023/codes/'<br> Select the notebook 'file.ipynb' and open it with Google Colab using Control Click + Open With Colaboratory <br><br> ### Local Installation for OSX M Chips * Open a Terminal and type ```sh # Conda installation curl https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o miniconda.sh -J -L -k # Linux curl https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o miniconda.sh -J -L -k # OSX chmod +x miniconda.sh ./miniconda.sh source ~/.bashrc # Clone GitHub repo git clone https://github.com/xbresson/GML2023.git cd GML2023 # Install python libraries conda env create -f environment_osx_arm64.yml conda activate gnn_course pip install --upgrade --force-reinstall scikit-learn==1.3.2 # Run the notebooks in Chrome jupyter notebook ``` ### Local Installation for OSX Intel Chips * Open a Terminal and type ```sh # Conda installation curl https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o miniconda.sh -J -L -k # Linux curl https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o miniconda.sh -J -L -k # OSX chmod +x miniconda.sh ./miniconda.sh source ~/.bashrc # Clone GitHub repo git clone https://github.com/xbresson/GML2023.git cd GML2023 # Install python libraries conda env create -f environment_osx_intel.yml conda activate gnn_course pip install --upgrade --force-reinstall scikit-learn==1.3.2 # Run the notebooks in Chrome jupyter notebook ``` ### Local Installation for Linux * Open a Terminal and type ```sh # Conda installation curl https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -o miniconda.sh -J -L -k # Linux curl https://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o miniconda.sh -J -L -k # OSX chmod +x miniconda.sh ./miniconda.sh source ~/.bashrc # Clone GitHub repo git clone https://github.com/xbresson/GML2023.git cd GML2023 # Install python libraries conda env create -f environment_linux.yml conda activate gnn_course pip install --upgrade --force-reinstall scikit-learn==1.3.2 # Run the notebooks in Chrome jupyter notebook ``` ### Local Installation for Windows ```sh # Install Anaconda https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe # Open an Anaconda Terminal Go to Application => Anaconda3 => Anaconda Prompt # Install git : Type in terminal conda install git # Clone GitHub repo git clone https://github.com/xbresson/GML2023.git cd GML2023 # Install python libraries conda env create -f environment_win64.yml conda activate gnn_course # Run the notebooks in Chrome jupyter notebook ```
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