Install and Setup

Install from wheel.

pip install graph-learn

Build from source.

Let’s take Ubuntu 20.04 based on g++ 9.4.0 as an example to illustrate the steps of compiling the source code.

Install dependent libraries

sudo apt-get -y update
python -m pip install --upgrade pip setuptools wheel
pip install numpy

git clone https://github.com/alibaba/graph-learn.git
cd graph-learn
cd graphlearn
sudo ./install_dependencies.sh

Build

mkdir build
cd build
cmake -DGL_PYTHON_BIN=python ..
make -j
# cpp test
source env.sh
./test_cpp_ut.sh

build python package:

make python -j
# python test
pip install dist/*.whl
./test_python_ut.sh

Install

pip install dist/your_wheel_name.whl

(Optional) Install TensorFlow

The TensorFlow model example provided by GL is developed based on TensorFlow 1.13 and requires the installation of the corresponding version of the library.

sudo pip install tensorflow==1.13.0

(Optional) Install PyTorch，PyG

The PyTorch model example provided by GL is based on PyG development and requires the installation of the corresponding library.

sudo pip install pytorch
# Install PyG follow the doc: https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html

Docker images

Graphlearn Docker hub

We provide a ubuntu20.04+gcc9.4.0 image.

docker pull graphlearn/graph-learn:1.1.0