Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
☆57May 30, 2023Updated 3 years ago
Alternatives and similar repositories for phygnnet
Users that are interested in phygnnet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Jan 7, 2025Updated last year
- ☆18Nov 26, 2024Updated last year
- Papers and codes of Physics-informed Deep Compositional Operator Network☆14Oct 31, 2025Updated 8 months ago
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆50Mar 2, 2026Updated 4 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Accompanyig code for "Training Physics-Informed Neural Networks: one learning to rule them all?"☆13Nov 15, 2022Updated 3 years ago
- Modified Meshgraphnets with more features☆62Jan 31, 2025Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆62Jan 25, 2022Updated 4 years ago
- PyTorch implementations of Learning Mesh-based Simulation With Graph Networks☆256Dec 19, 2025Updated 7 months ago
- A GNN-based PDE solver without pre-computed data☆42Jun 11, 2025Updated last year
- ☆50May 18, 2022Updated 4 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Aug 18, 2023Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆15Jun 27, 2025Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 2 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Differentiable Physics-informed Graph Networks☆67Feb 20, 2020Updated 6 years ago
- ☆19Nov 24, 2025Updated 7 months ago
- TensorFlow PINN study for a couple of Fokker-Planck equations.☆13Jun 23, 2022Updated 4 years ago
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 3 years ago
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆13Oct 2, 2023Updated 2 years ago
- ☆93Jul 18, 2023Updated 3 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆13Nov 23, 2025Updated 7 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆149Sep 11, 2024Updated last year
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- This is the official implementation of physics-informed neural networks for functional differential equations (Functional PINN) proposed …☆12Apr 9, 2025Updated last year
- Official FluxGNN code for ICML2024☆30Feb 27, 2025Updated last year
- ☆11Apr 2, 2021Updated 5 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆96Aug 26, 2025Updated 10 months ago
- ☆1,113Jun 29, 2026Updated 3 weeks ago
- Code and datasets for paper "Assessing Weighted Physics Informed Neural Networks in Ocean Modelling"☆12Dec 9, 2022Updated 3 years ago
- ☆20May 25, 2024Updated 2 years ago
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆232May 28, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆37Feb 4, 2022Updated 4 years ago
- Physics-informed radial basis network☆42May 20, 2024Updated 2 years ago
- Implementation for "DeltaPhi: Learning Physical Trajectory Residual for PDE Solving"☆13Jun 17, 2024Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 10 months ago
- Code for the Master's thesis: "Evaluation and improvements to Mesh Graph Nets for Computational Fluid Dynamics Simulations" which is buil…☆25Jun 6, 2024Updated 2 years ago
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated 2 years ago