stefaniaebli/simplicial_neural_networks
Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
37
/ 100
Emerging
No commits in the last 6 months.
Stale 6m
No Package
No Dependents
Maintenance
0 / 25
Adoption
9 / 25
Maturity
16 / 25
Community
12 / 25
Stars
84
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Apr 14, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/stefaniaebli/simplicial_neural_networks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
lmcinnes/umap
Uniform Manifold Approximation and Projection
90
geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
87
pyRiemann/pyRiemann
Machine learning for multivariate data through the Riemannian geometry of positive definite...
83
higra/Higra
Hierarchical Graph Analysis
75
pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE
74