A dual-scale fused hypergraph convolution-based hyperedge prediction model for predicting missing reactions in genome-scale metabolic networks
To use DSHCNet you must make sure that your python version is greater than 3.7. If you don’t know the version of python you can check it by:
python
>>> import platform
>>> platform.python_version()
'3.7.13'The required packages are as follows:
- scikit-learn==0.21.3
- cobra==0.22.1
- joblib==1.1.0
- numpy==1.21.6
- optlang==1.5.2
- pandas==1.3.5
- torch==1.9.0
- torch_geometric==1.7.2
- torch_scatter==2.0.8
- torch_sparse==0.6.11
- tqdm==4.65.0
We use the dataset BiGG to illustrate an example.
python main.py