pyt-team / tdlbookLinks
☆35Updated last year
Alternatives and similar repositories for tdlbook
Users that are interested in tdlbook are comparing it to the libraries listed below
Sorting:
- Computing on Topological Domains☆241Updated this week
- Topological Deep Learning☆293Updated this week
- Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…☆39Updated 7 months ago
- ☆176Updated 2 years ago
- Representation Learning on Topological Domains☆89Updated this week
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆184Updated this week
- A curated list of topological deep learning (TDL) resources and links.☆266Updated this week
- 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
- ☆80Updated 2 years ago
- ☆61Updated last year
- Code for "Learning Graph Cellular Automata" (NeurIPS 2021).☆73Updated 3 years ago
- Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`☆20Updated last year
- About A collection of AWESOME things about information geometry Topics☆166Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆122Updated 3 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆164Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆53Updated last year
- A topological machine learning framework based on PyTorch☆189Updated 3 months ago
- Official Repository of Adaptive Message Passing☆18Updated 2 months ago
- Measuring generalization properties of graph neural networks☆15Updated last month
- The code for "Diffusion Geometry" (2024).☆43Updated last year
- Computational abilities and efficiency of neural networks☆56Updated 2 months ago
- Graph neural networks in JAX.☆67Updated last year
- Low-Level Graph Neural Network Operators for PyG☆210Updated last week
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆57Updated last year
- A package for defining deep learning models using categorical algebraic expressions.☆61Updated last year
- Code for "Manifold Diffusion Geometry: Curvature, Tangent Spaces, and Dimension"☆44Updated 10 months ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated 2 years ago
- ☆121Updated 2 years ago
- Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).☆82Updated last year
- a python library for cats and hypercats☆22Updated last month