- implementing a graph neural network for the layered and directed graphs as you will find in the metabolomics and proteomics.
- I crated a Graph Neural Network as in Python there is Deep graph Library which can do in few lines if you know how to read graphs.
- In RUST, there is no such, so I wrote using Burn this evening. Burn is an awesome crate, you can do everything.
- I made a function that reads the edges and the nodes from the file and returns a adjancency matrix.
- This can be changed with the use of the required nodes, however the Graph neural network class remains the same.
Gaurav Sablok
codeprog@icloud.com