Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"
☆58May 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 10 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 5 months ago
- AI Agents on 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.
- 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☆263Dec 19, 2025Updated 8 months ago
- A GNN-based PDE solver without pre-computed data☆43Jun 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 3 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 3 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Differentiable Physics-informed Graph Networks☆67Feb 20, 2020Updated 6 years ago
- ☆19Nov 24, 2025Updated 9 months ago
- TensorFlow PINN study for a couple of Fokker-Planck equations.☆13Jun 23, 2022Updated 4 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
- Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation☆96Jul 25, 2022Updated 4 years ago
- ☆95Jul 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 9 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆150Sep 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
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 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☆95Aug 26, 2025Updated last year
- ☆1,120Jun 29, 2026Updated 2 months 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
- 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.
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆37Feb 4, 2022Updated 4 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 11 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
- Physics-informed radial basis network☆43May 20, 2024Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated 2 years ago