awesome-tnns / awesome-tnnsLinks
☆176Updated 2 years ago
Alternatives and similar repositories for awesome-tnns
Users that are interested in awesome-tnns are comparing it to the libraries listed below
Sorting:
- Topological Deep Learning☆293Updated this week
- Computing on Topological Domains☆241Updated this week
- A curated list of topological deep learning (TDL) resources and links.☆269Updated last 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☆195Updated this week
- A topological machine learning framework based on PyTorch☆191Updated 2 weeks ago
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆39Updated 8 months ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆508Updated 2 weeks ago
- Topological Graph Neural Networks (ICLR 2022)☆123Updated 3 years ago
- Deep learning made topological.☆90Updated last year
- ☆35Updated last year
- Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…☆80Updated 4 years ago
- ☆80Updated 2 years ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆36Updated 10 months ago
- A curated list of topological data analysis (TDA) resources and links.☆210Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆116Updated 2 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- ☆35Updated 4 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago
- SignNet and BasisNet☆101Updated 2 years ago
- Graph Neural PDEs☆335Updated 3 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- Code for "Learning Graph Cellular Automata" (NeurIPS 2021).☆73Updated 3 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆82Updated 11 months ago