Pseudomanifold / pyperLinks
Python-based persistent homology algorithms
β19Updated 2 years ago
Alternatives and similar repositories for pyper
Users that are interested in pyper are comparing it to the libraries listed below
Sorting:
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.β150Updated 3 years ago
- The essence of my research, distilled for reusability. Enjoy π₯!β69Updated last year
- Topological Graph Neural Networks (ICLR 2022)β123Updated 3 years ago
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"β¦β14Updated 3 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.β15Updated last year
- Vectorization of persistence diagrams and approximate Wasserstein distanceβ27Updated 5 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'β18Updated 2 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``β24Updated 5 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'β10Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).β35Updated 4 years ago
- Simplicial neural network benchmarking softwareβ17Updated 3 years ago
- β11Updated 3 years ago
- Persistence differentiation with Gudhi and Tensorflowβ19Updated last year
- NeurIPS 2022: Tree Moverβs Distance: Bridging Graph Metrics and Stability of Graph Neural Networksβ37Updated 2 years ago
- The official implementation of the SGCN architecture.β62Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paperβ36Updated 5 years ago
- Equivariant Mesh Attention Networksβ21Updated 2 years ago
- Approximate subgraph motif mining through learnable edge contraction.β13Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021β51Updated 3 years ago
- β19Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)β89Updated 2 years ago
- β14Updated 8 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddingsβ38Updated 9 months ago
- A topological machine learning framework based on PyTorchβ185Updated last month
- A python package for computing Persistence Curvesβ19Updated 3 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)β82Updated last year
- Code for Graph Normalizing Flows.β63Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGLβ118Updated 4 years ago
- β22Updated 4 years ago
- β31Updated last year