Gradient-Based Neural DAG Learning
This code was written by the authors of the ICLR 2020 submission: "Gradient-Based Neural DAG Learning". Our implementation is in PyTorch but some functions rely on the Causal Discovery Toolbox which relies partly on the R programming language.
Run the code
To use our implementation of GraN-DAG, simply install Singularity (instructions: https://www.sylabs.io/guides/3.0/user-guide/installation.html) and run the code in our container (download it here: https://drive.google.com/file/d/1pcQB116Tt2IRoVPmqt610N0nPKUAwHsR/view?usp=sharing). Use start_example.sh (update the paths) to launch the differents methods (GraN-DAG, DAG-GNN, NOTEARS, CAM).