chaitjo / geometric-gnn-dojoLinks
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
☆500Updated last year
Alternatives and similar repositories for geometric-gnn-dojo
Users that are interested in geometric-gnn-dojo are comparing it to the libraries listed below
Sorting:
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆480Updated 7 months ago
- ☆489Updated 3 years ago
- ☆174Updated last year
- Topological Deep Learning☆282Updated this week
- Message Passing Neural Networks for Simplicial and Cell Complexes☆163Updated 2 years ago
- Computing on Topological Domains☆227Updated this week
- Graphium: Scaling molecular GNNs to infinity.☆230Updated 2 months ago
- A curated list of topological deep learning (TDL) resources and links.☆255Updated last month
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆441Updated 3 months ago
- ☆514Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- Advanced Topics in Artificial Intelligence, NUS CS6208, 2023☆323Updated 2 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆81Updated 7 months ago
- Deep learning for molecules and materials book☆658Updated last week
- Recipe for a General, Powerful, Scalable Graph Transformer☆760Updated last year
- Graph Neural PDEs☆333Updated 2 years ago
- TopoBench is a Python library designed to standardize benchmarking and accelerate research in Topological Deep Learning☆134Updated last week
- SignNet and BasisNet☆99Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).☆370Updated 2 years ago
- A modular framework for neural networks with Euclidean symmetry☆1,109Updated 2 months ago
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- GFlowNet library specialized for graph & molecular data☆256Updated last month
- All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.☆213Updated 7 months ago
- Exphormer: Sparse Transformer for Graphs☆183Updated last year
- A short and easy PyTorch implementation of E(n) Equivariant Graph Neural Networks☆131Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆40Updated 4 months ago
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆326Updated last year
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆240Updated 5 months ago
- Geometric Generative Model Tutorial at LoG 2024☆27Updated 7 months ago