Deep learning and Graph Neural Networks for proteins and molecular dynamics simulations
- The main script to run is the train.py
- For doing inference on data use the eval.py script
- The sub_dist.lcf shows has to run in data parallel the training
- The LSTM branch uses the same GNN models as the master branch but has temporal component using an LSTM
- The MPNN-Toy branch uses the same models as the master branch but the data loaders are different
The basic GNN operations were used based on pytorch_geometric and pytorch_geometric_temporal