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:
- The essence of my research, distilled for reusability. Enjoy π₯!β73Updated last year
- Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"β¦β14Updated 3 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``β24Updated 5 years ago
- Topological Graph Neural Networks (ICLR 2022)β125Updated 3 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.β153Updated 4 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distanceβ28Updated 5 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'β18Updated 2 years ago
- A topological machine learning framework based on PyTorchβ200Updated this week
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.β14Updated last year
- β11Updated 3 years ago
- Simplicial neural network benchmarking softwareβ17Updated 3 years ago
- NeurIPS 2022: Tree Moverβs Distance: Bridging Graph Metrics and Stability of Graph Neural Networksβ37Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGLβ118Updated 4 years ago
- Persistence differentiation with Gudhi and Tensorflowβ20Updated 2 years ago
- Approximate subgraph motif mining through learnable edge contraction.β15Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)β90Updated 2 years ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2β¦β43Updated 11 months ago
- β14Updated 8 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021β53Updated 3 years ago
- SCOTT: Synthesizing Curvature Operations and Topological Toolsβ17Updated 3 months ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networksβ25Updated 3 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratoriesβ84Updated 4 years ago
- Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddingsβ38Updated last year
- Path integral based convolution and poolingβ30Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paperβ37Updated 5 years ago
- Code for Graph Normalizing Flows.β63Updated 6 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).β35Updated 5 years ago
- Deep Graph Mapper: Seeing Graphs through the Neural Lensβ58Updated 2 years ago
- Official Repository for Simplicial Attention Networksβ32Updated 2 years ago
- The official implementation of the SGCN architecture.β63Updated 4 years ago