Graph Machine Learning course, 2023

Xavier Bresson

Course slides

https://storage.googleapis.com/xavierbresson/index.html

Cloud Machine : Google Colab (Free GPU)

• Follow this Notebook installation :

https://colab.research.google.com/github/xbresson/GML2023/blob/master/codes/installation/installation.ipynb

• Open your Google Drive :

https://www.google.com/drive

• Open in Google Drive Folder 'GML2023' and go to Folder 'GML2023/codes/'

Select the notebook 'file.ipynb' and open it with Google Colab using Control Click + Open With Colaboratory

Local Installation for OSX M Chips

• Open a Terminal and type

   # 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

   # 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

   # 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

   # 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