Final Paper Tasks

[Paytonco]

• [x] New heatmaps with sparsities we can compare and even neighbor counts

[Paytonco]

Model performance figures when trained on three datasets and applied to the fourth

[Paytonco]

• [x] Number of dimensions optimization figure

[Paytonco]

Finish writing results & discussion

[Paytonco]

Write detailed README and make a release

[Paytonco]

• [ ] Add more citations (we want to be around 30)

Python libraries we can cite:

• PyTorch-Geometric (https://github.com/pyg-team/pytorch_geometric)
• Hydra (https://hydra.cc/docs/intro/)
• WandB (https://wandb.ai/site/research#cite-weights-and-biases)
• PyTorch (https://github.com/pytorch/pytorch/tree/main)
• SCVelo (https://scvelo.readthedocs.io/en/stable/)
• Pandas (https://pandas.pydata.org/about/citing.html)
• NumPy (https://numpy.org/citing-numpy/)

[Paytonco]

• [x] Table of Contents Figure