Heterogeneous Sheaf (Hyper)Graph Neural Networks

This repository contains the code for my MPhil Advanced Computer Science research project Sheaf (hyper)graph methods for heterogeneous data, which was supervised by Prof Pietro Lió and Iulia Duta.

Requirements

Python 3.11
PyTorch
Pytorch Geometric (PyG)
hydra
Pytorch Lightning
TorchMetrics
cuda

Name		Name	Last commit message	Last commit date
configs		configs
core		core
datasets		datasets
dti_prediction		dti_prediction
link_prediction		link_prediction
models		models
node_classification		node_classification
pl_callbacks		pl_callbacks
slurm_scripts		slurm_scripts
sweeps		sweeps
tests		tests
utils		utils
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
definitions.py		definitions.py
get_best_sweep_parameters.py		get_best_sweep_parameters.py
preprocess_umap.py		preprocess_umap.py
process_umap.py		process_umap.py
requirements.txt		requirements.txt
run_dti.py		run_dti.py
run_gnn_lp.py		run_gnn_lp.py
run_gnn_nc.py		run_gnn_nc.py
run_sheaf_hgnn_nc.py		run_sheaf_hgnn_nc.py
run_sheaf_lp.py		run_sheaf_lp.py
run_sheaf_nc.py		run_sheaf_nc.py
sheaf_hgnn_test.py		sheaf_hgnn_test.py

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