Minimal implementation of graph attention student model architecture
☆12Jan 22, 2026Updated 2 months ago
Alternatives and similar repositories for graph_attention_student
Users that are interested in graph_attention_student are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Predict the electronic structure and atomic properties (potential energy, forces, and stress tensor) of polymers containing N and/or O.☆24Sep 3, 2024Updated last year
- DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules☆30Jan 3, 2025Updated last year
- AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting. This is my implementation of this model …☆11Aug 31, 2023Updated 2 years ago
- Neural force field learning toolkit☆14Dec 22, 2025Updated 3 months ago
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆12Feb 19, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Heterogeneous Molecular Graph Neural Network☆28Sep 29, 2020Updated 5 years ago
- ☆11Jun 11, 2025Updated 10 months ago
- ☆12Feb 4, 2023Updated 3 years ago
- ☆13Feb 9, 2023Updated 3 years ago
- A Generative Diffusion Model for Crystal Symmetry☆25Updated this week
- iOS Client for Epic Pet Wars (2009)☆11Feb 27, 2015Updated 11 years ago
- ☆13Sep 5, 2023Updated 2 years ago
- ☆37Sep 21, 2025Updated 6 months ago
- DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning (Nature Computational Science, 2026)☆38Feb 10, 2026Updated 2 months ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Graph-Based Force Fields Model to parameterize Force Fields by Graph Attention Networks☆10Apr 9, 2024Updated 2 years ago
- Stiff Neural Ordinary Differential Equations☆36Jun 7, 2023Updated 2 years ago
- [npj Comp. Mat.] Higher-order equivariant neural networks for charge density prediction in materials☆72Feb 21, 2025Updated last year
- ☆12Mar 12, 2023Updated 3 years ago
- Code for automated fitting of machine learned interatomic potentials.☆144Apr 9, 2026Updated last week
- AlphaCrytal: Contact map based deep learning algorithm for crystal structure prediction☆11Aug 18, 2023Updated 2 years ago
- ☆19Oct 27, 2020Updated 5 years ago
- ☆14Jun 25, 2021Updated 4 years ago
- CrysMMNet: Multimodal Representation for Crystal Property Prediction (UAI-2023)☆20Jun 28, 2024Updated last year
- 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.
- zeo++ fork of the LSMO☆23Dec 19, 2022Updated 3 years ago
- Pytorch implementation of MPNN for Quantum Chemistry☆18Nov 7, 2024Updated last year
- Integrated software for comprehensive BMS strategy validation, SOC accuracy estimation, cell boundary definition, and battery data analys…☆15Jul 31, 2024Updated last year
- ☆13Oct 9, 2024Updated last year
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆17Jul 19, 2024Updated last year
- Implementation of a heterogeneous version of the GNN method MPNN with running code to try it out.☆21Apr 12, 2024Updated 2 years ago
- Hands-on with GitHub Copilot: Building AI-Powered Study Plans with GitHub Models☆18Oct 8, 2025Updated 6 months ago
- Accelerated design for high entropy alloys based on machine learning and multi-objective optimization☆12Dec 27, 2023Updated 2 years ago
- ICLR 2023: Learning to Extrapolate: A Transductive Approach☆11Aug 15, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- An overview over chemical datasets and where to find them☆17Aug 29, 2023Updated 2 years ago
- PyTorch implementation of the fast neural style transfer paper 🏎💨🖌️🎨🧠☆29May 17, 2023Updated 2 years ago
- Jupyter Notebook running Mamba speech synthesis example on Determined AI. Based on https://2084.substack.com/p/2084-marcrandbot-speech-sy…☆23Feb 8, 2024Updated 2 years ago
- Symmetry prediction and knowledge discovery fromX-ray diffraction patterns using an interpretable machine learning approach☆23Dec 11, 2020Updated 5 years ago
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Oct 19, 2021Updated 4 years ago
- Notebooks accompanying the paper on GPR in materials and molecules in Chemical Reviews 2020☆12May 4, 2021Updated 4 years ago
- The accompanying code for "Simplifying and Understanding State Space Models with Diagonal Linear RNNs" (Ankit Gupta, Harsh Mehta, Jonatha…☆23Dec 30, 2022Updated 3 years ago