An graph attention-based model for predicting TF-target gene interactions. For details of the model, refer to this paper.
data/
contains the necessary dataset files;main.py
main function for GraphTGI.
The main requirements are:
- numpy==1.19.2
- mxnet-cu102==1.6.0.post0
- dgl-cu102==0.6.0.post1
useconda env create -f environment.yaml
to set up the environment.
Please cite our paper if you use this code in your own work.