The bare installation of PHOTONAI Graph will get you up and running with machine learning graph analysis.
Some analysis may require additional packages. PHOTONAI Graph will inform you about these requirements if needed. If you want to install them in advance please read additional packages.
We recommend using anaconda environments. Alternatively you can simply use virtual environments or install PHOTONAI Graph system wide.
PHOTONAI Graph is currently tested with python 3.9
conda create -n photonai_graph conda activate photonai_graph conda install python=3.9
Installation via PIP
The PHOTONAI Graph library can simply be installed via pip:
pip install photonai-graph
If you prefer to use the dev version of PHOTONAI Graph:
This Version could be unstable due to active development
pip install git+https://github.com/wwu-mmll/photonai_graph@dev
You can verify your installation by starting python and runnning:
If this command does not raise an error, you are ready to go.
To be able to use all modules of the toolbox you have to install these additional packages:
pip install tensorflow pip install torch pip install dgl pip install grakel