pyt-team / TopoModelXLinks
Topological Deep Learning
☆293Updated 2 weeks ago
Alternatives and similar repositories for TopoModelX
Users that are interested in TopoModelX are comparing it to the libraries listed below
Sorting:
- Computing on Topological Domains☆237Updated this week
- ☆176Updated 2 years ago
- A curated list of topological deep learning (TDL) resources and links.☆265Updated this week
- Representation Learning on Topological Domains☆88Updated this week
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆174Updated this week
- A topological machine learning framework based on PyTorch☆188Updated 2 months ago
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 3 years ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆38Updated 6 months ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆163Updated 2 years ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆507Updated last year
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- ☆80Updated 2 years ago
- ☆33Updated last year
- Graph Neural PDEs☆335Updated 2 years 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
- Code for paper E(n)-Equivariant Topological Neural Networks☆37Updated 9 months ago
- Deep learning made topological.☆85Updated last year
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆114Updated 2 years ago
- A curated list of topological data analysis (TDA) resources and links.☆210Updated last year
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Python library for multipersistence☆32Updated last week
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆151Updated 3 years ago
- SignNet and BasisNet☆101Updated 2 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- Exphormer: Sparse Transformer for Graphs☆186Updated last year
- Low-Level Graph Neural Network Operators for PyG☆210Updated last week
- Computational and Applied Topology List☆22Updated 3 months ago
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences …☆428Updated 5 months ago
- ☆55Updated 3 years ago
- A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.☆264Updated last year