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Currently, we have a lot of configuration files (especially in the model folder) and a lot of different model implementations / configurations.
It would be nice to have an overview for future users what is implemented and how it should be used. I would suggest the following:
- A "master example" giving the command and configuration files to train the best model architecture with the best dataset we have (probably GAT-v2 with augmented architecture and node properties + ChEBI50).
- A short description of the parameters a user can sensibly change (i.e., swap between GAT / Resgated ConvNets / GATv2, number of layers, random node initialisation, ...)
Both should fit in the README.
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