geometric-intelligence / TopoBench
TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning
☆117Updated this week
Alternatives and similar repositories for TopoBench:
Users that are interested in TopoBench are comparing it to the libraries listed below
- Representation Learning on Topological Domains☆80Updated this week
- Topological Deep Learning☆269Updated this week
- Computing on Topological Domains☆214Updated this week
- ☆174Updated last year
- A curated list of topological deep learning (TDL) resources and links.☆244Updated last month
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆38Updated 2 months ago
- TorchDR - PyTorch Dimensionality Reduction☆108Updated last week
- ☆32Updated 9 months ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆34Updated 5 months ago
- A topological machine learning framework based on PyTorch☆170Updated 3 weeks ago
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 2 years ago
- Deep learning made topological.☆83Updated 9 months ago
- Graph neural networks in JAX.☆67Updated 10 months ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆58Updated last year
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 5 months ago
- The code for "Diffusion Geometry" (2024).☆42Updated 11 months ago
- Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs…☆128Updated last year
- Message Passing Neural Networks for Simplicial and Cell Complexes☆161Updated last year
- Computational and Applied Topology List☆21Updated 3 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆80Updated 11 months ago
- Geometric kernels on manifolds, meshes and graphs☆247Updated 3 weeks ago
- Official Repository of Adaptive Message Passing☆16Updated 2 months ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆79Updated 9 months ago
- Distance-based Analysis of DAta-manifolds in python☆127Updated 3 weeks ago
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆79Updated 4 years ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆499Updated 11 months ago
- All graph/GNN papers accepted at NeurIPS 2024.☆80Updated 5 months ago
- Geometric Deep Learning @ University of Cambridge☆22Updated 2 months ago
- ☆74Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago