Using graph network to solve PDEs
☆441Jun 2, 2025Updated 10 months ago
Alternatives and similar repositories for graph-pde
Users that are interested in graph-pde are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning in infinite dimension with neural operators.☆3,520Feb 24, 2026Updated last month
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆319Jun 2, 2025Updated 10 months ago
- ☆1,087Mar 18, 2026Updated 3 weeks ago
- ☆526Apr 1, 2025Updated last year
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,101Mar 30, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 3 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆189Oct 13, 2023Updated 2 years ago
- ☆296Sep 14, 2024Updated last year
- ☆403Dec 3, 2022Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆369Jul 14, 2023Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆146Sep 11, 2024Updated last year
- ☆40Jul 10, 2024Updated last year
- ☆13Dec 19, 2023Updated 2 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆258Jun 14, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆67Mar 21, 2025Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆177Apr 10, 2025Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70May 22, 2024Updated last year
- ☆88Jul 18, 2023Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆213Nov 24, 2025Updated 4 months ago
- ☆130Mar 28, 2023Updated 3 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆787Jun 25, 2022Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Spectral Neural Operator☆83Dec 20, 2023Updated 2 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆292Sep 28, 2024Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆28Mar 9, 2023Updated 3 years ago
- A differentiable PDE solving framework for machine learning☆1,847Mar 29, 2026Updated last week
- A library for scientific machine learning and physics-informed learning☆4,029Mar 1, 2026Updated last month
- The MegaFlow2D dataset package☆24Sep 21, 2023Updated 2 years ago
- Fourier Neural Operator☆13May 24, 2023Updated 2 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Multiwavelets-based operator model☆69Feb 16, 2022Updated 4 years ago
- ☆55Jun 16, 2022Updated 3 years ago
- ☆43Sep 2, 2025Updated 7 months ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆174Sep 6, 2024Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆79Aug 4, 2023Updated 2 years ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆778Jul 27, 2025Updated 8 months ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,742Feb 11, 2026Updated last month