aGIToz / Pytorch_pdegraphLinks
Running PDEs on graph
☆29Updated 2 years ago
Alternatives and similar repositories for Pytorch_pdegraph
Users that are interested in Pytorch_pdegraph are comparing it to the libraries listed below
Sorting:
- ☆57Updated 2 years ago
- Equivariant Mesh Attention Networks☆21Updated 2 years ago
- ☆62Updated 2 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- SignNet and BasisNet☆100Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- Path integral based convolution and pooling☆30Updated 2 years ago
- Graph Neural PDEs☆333Updated 2 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Turning SymPy expressions into PyTorch modules.☆148Updated last year
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Neural Graph Differential Equations (Neural GDEs)☆204Updated 4 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 5 months ago
- ☆270Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆111Updated 2 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆40Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆124Updated 3 years ago
- Code for paper E(n)-Equivariant Topological Neural Networks☆35Updated 7 months ago
- ☆158Updated 5 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- 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
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆30Updated 3 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆58Updated 9 months ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- E(3) Steerable Graph Neural Network☆119Updated 2 years ago