A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
- Pytorch 1.7.0
- Numpy 1.19.2
- Rdkit
- pyG
To reproduce our results: please run main.py. Options are:
--num_channels: the number of channels, default: 4
--num_layers: the maximum length of the learned meta-paths, default: 3
--alpha: hyperparameter in loss function, default: 0.4
-t: select experimental data, default: 'o'