pyt-team / TopoNetXLinks
Computing on Topological Domains
☆232Updated last week
Alternatives and similar repositories for TopoNetX
Users that are interested in TopoNetX are comparing it to the libraries listed below
Sorting:
- Topological Deep Learning☆288Updated last week
- Representation Learning on Topological Domains☆83Updated last week
- ☆175Updated last year
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆140Updated this week
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆38Updated 5 months ago
- A topological machine learning framework based on PyTorch☆186Updated last month
- A curated list of topological deep learning (TDL) resources and links.☆255Updated last month
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆37Updated 8 months ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆500Updated last year
- Low-Level Graph Neural Network Operators for PyG☆209Updated last week
- Graph Neural PDEs☆333Updated 2 years ago
- A python library to compute the graph Ricci curvature and Ricci flow on NetworkX graph.☆256Updated last year
- ☆79Updated last year
- 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
- ☆32Updated last year
- Deep learning made topological.☆84Updated last year
- Geometric kernels on manifolds, meshes and graphs☆263Updated 2 weeks ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated last year
- Exphormer: Sparse Transformer for Graphs☆183Updated last year
- All graph/GNN papers accepted at NeurIPS 2024.☆82Updated 8 months ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- ☆201Updated 6 months ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Code for "Learning Graph Cellular Automata" (NeurIPS 2021).☆70Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- The code for "Diffusion Geometry" (2024).☆43Updated last year
- Computational and Applied Topology List☆21Updated 2 months ago
- A curated list of topological data analysis (TDA) resources and links.☆202Updated 10 months ago