Add flag to skip per-node projection for torch models.

[cfifty]

Add a flag to optionally skip the node projection in GNN models.

This enables researchers to use pre-trained node embeddings rather than learning node embeddings on the FS-Mol dataset.

To use pre-trained embeddings, simply convert the FS-Mol dataset field MoleculeDatapoint.graph.node_features to the pre-trained embedding of size equal to the model's internal node representation dimension.

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[cfifty]

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[cfifty]

Thanks for the review! Please consider merging; I'm seeing an "Only those with to this repository can merge pull requests." message when trying to merge.