Computing on Topological Domains
☆264May 17, 2026Updated this week
Alternatives and similar repositories for TopoNetX
Users that are interested in TopoNetX are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Representation Learning on Topological Domains☆97Updated this week
- Topological Deep Learning☆333May 14, 2026Updated last week
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆43Feb 20, 2025Updated last year
- ☆182Sep 13, 2023Updated 2 years ago
- A curated list of topological deep learning (TDL) resources and links.☆285Oct 20, 2025Updated 7 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A topological machine learning framework based on PyTorch☆210Feb 11, 2026Updated 3 months ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆38Nov 28, 2024Updated last year
- Quantify geometric intelligence in natural and artificial brains.☆51Jun 25, 2025Updated 10 months ago
- Topological Graph Neural Networks (ICLR 2022)☆127Jun 10, 2022Updated 3 years ago
- ☆12Jun 20, 2025Updated 11 months ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54May 16, 2022Updated 4 years ago
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆242May 14, 2026Updated last week
- explanation / demos of topology concepts☆14May 25, 2022Updated 3 years ago
- Computations and statistics on manifolds with geometric structures.☆1,486May 14, 2026Updated last week
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆14Nov 25, 2024Updated last year
- Differentiable Euler Characteristic Transform☆17Jun 18, 2024Updated last year
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Feb 19, 2026Updated 3 months ago
- Deep Learning☆19Apr 22, 2025Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated last year
- [ICML'25] The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor Products☆19Jul 16, 2025Updated 10 months ago
- Deep learning made topological.☆92Jul 25, 2024Updated last year
- Message Passing Neural Networks for Simplicial and Cell Complexes☆168Jun 13, 2023Updated 2 years ago
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆52Nov 8, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Python package for hypergraph analysis and visualization.☆694Apr 14, 2026Updated last month
- Python-based persistent homology algorithms☆19Jul 21, 2023Updated 2 years ago
- Construct generalised Voronoi-type dual meshes in MATLAB.☆22Jan 5, 2020Updated 6 years ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 4 years ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆524Oct 9, 2025Updated 7 months ago
- Geometric kernels on manifolds, meshes and graphs☆586Mar 10, 2026Updated 2 months ago
- The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimension…☆312May 11, 2026Updated last week
- Distances and representations of persistence diagrams☆139Apr 5, 2026Updated last month
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆47Oct 9, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆154Jan 18, 2022Updated 4 years ago
- ☆95Aug 16, 2023Updated 2 years ago
- CAT-Walk is an inducive method that learns hyperedge representations via a novel higher-order random walk, SetWalk.☆20Oct 16, 2023Updated 2 years ago
- Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'☆18Aug 8, 2023Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Nov 28, 2022Updated 3 years ago
- Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems [ICML'25]☆117Oct 11, 2025Updated 7 months ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Jan 27, 2024Updated 2 years ago