usccolumbia / deeperGATGNNLinks
Scalable graph neural networks for materials property prediction
☆62Updated last year
Alternatives and similar repositories for deeperGATGNN
Users that are interested in deeperGATGNN are comparing it to the libraries listed below
Sorting:
- Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction☆82Updated 8 months ago
- Unsupervised learning of atomic scale dynamics from molecular dynamics.☆81Updated 3 years ago
- Composition-Conditioned Crystal GAN pytorch code☆43Updated 3 years ago
- MatDeepLearn, package for graph neural networks in materials chemistry☆197Updated 2 years ago
- A Large Language Model of the CIF format for Crystal Structure Generation☆119Updated 7 months ago
- DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules☆23Updated 7 months ago
- FTCP code☆35Updated last year
- Transformer model for structure-agnostic metal-organic frameworks (MOF) property prediction☆53Updated last year
- Source code for generating materials with 20 space groups using PGCGM☆33Updated 2 years ago
- Learning to Discover Crystallographic Structures with Generative Adversarial Networks☆38Updated 5 years ago
- This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials☆98Updated 2 months ago
- ☆26Updated last year
- Materials Transformers