Differentiable Physics-informed Graph Networks
☆67Feb 20, 2020Updated 6 years ago
Alternatives and similar repositories for dpgn
Users that are interested in dpgn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Feb 19, 2020Updated 6 years ago
- ☆14Jan 29, 2021Updated 5 years ago
- ☆35Jan 29, 2021Updated 5 years ago
- ☆12Oct 4, 2021Updated 5 years ago
- PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆275Dec 19, 2025Updated 10 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆111Aug 22, 2024Updated 2 years ago
- Laminar flow prediction using graph neural networks☆32Jan 17, 2025Updated last year
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 4 years ago
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Jan 30, 2024Updated 2 years ago
- ☆17May 21, 2020Updated 6 years ago
- add codes☆21Aug 22, 2021Updated 5 years ago
- ☆17May 1, 2022Updated 4 years ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69May 22, 2024Updated 2 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆62Jan 25, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 5 months ago
- ☆30Jan 25, 2022Updated 4 years ago
- Rewrite deepmind/meshgraphnets into pytorch☆106Feb 19, 2022Updated 4 years ago
- A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2☆38Jul 5, 2021Updated 5 years ago
- ☆23Mar 24, 2023Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆76Jan 13, 2024Updated 2 years ago
- Tensor Basis Random Forest for RANS turbulence modelling☆11Dec 5, 2018Updated 7 years ago
- ☆31Oct 31, 2023Updated 3 years ago
- ☆133Mar 28, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆54Jun 16, 2022Updated 4 years ago
- Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ☆59Apr 25, 2019Updated 7 years ago
- ☆23Dec 16, 2021Updated 4 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Jun 12, 2023Updated 3 years ago
- Reimplementation of Learning Mesh-based Simulation With Graph Networks☆44May 13, 2021Updated 5 years ago
- AAAI 2024☆10Jan 2, 2024Updated 2 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆30Jan 30, 2024Updated 2 years ago
- Gradient gating (ICLR 2023)☆56May 11, 2023Updated 3 years ago
- An official 're'-implementation of Physics-induced graph neural network: An application to wind-farm power estimation (PGNN).☆30Jul 27, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Using graph network to solve PDEs☆457Jun 2, 2025Updated last year
- Code for physics-informed model discovery by sparse regression, illustrated using channel flow☆11Mar 26, 2024Updated 2 years ago
- Differentiable Spline Approximations☆14Sep 3, 2023Updated 3 years ago
- Deep-learning iterative solver for the heterogeneous 2D Helmholtz equation☆36Dec 8, 2022Updated 3 years ago
- [NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".☆42Nov 1, 2022Updated 4 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- ☆16Nov 20, 2023Updated 2 years ago