HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction

The dependency of the code is in requirement.txt.

The framework can be found in main.ipynb.

Some related method should be found in utils. (The algorithm GWC in the paper is implemented by function lazy_clique_edge_cover)

Dataset

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
analysis		analysis
cell		cell
generate_graphs		generate_graphs
gephi		gephi
.gitignore		.gitignore
GNN_bias.png		GNN_bias.png
README.md		README.md
advanced_property.ipynb		advanced_property.ipynb
benchmark.ipynb		benchmark.ipynb
cliques.py		cliques.py
config.yml		config.yml
different_phase_metric.ipynb		different_phase_metric.ipynb
diversity.ipynb		diversity.ipynb
hyperGraphEmbedding.py		hyperGraphEmbedding.py
main.ipynb		main.ipynb
maximal_clique_hypergraph.ipynb		maximal_clique_hypergraph.ipynb
parallel_clique_finding.py		parallel_clique_finding.py
preprocess.ipynb		preprocess.ipynb
requirment.txt		requirment.txt
settries.py		settries.py
utils.py		utils.py
visualization.ipynb		visualization.ipynb