CrysMMNet: Multimodal Representation for Crystal Property Prediction (UAI-2023)
☆20Jun 28, 2024Updated last year
Alternatives and similar repositories for crysmmnet
Users that are interested in crysmmnet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆19Jul 1, 2023Updated 2 years ago
- Official code for Periodic Graph Transformers for Crystal Material Property Prediction (NeurIPS 2022)☆110Dec 15, 2023Updated 2 years ago
- The official code respository for "Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding" (ICLR 2024)☆28Mar 8, 2025Updated last year
- [ICML 2024] Floating Anchor Diffusion Model for Multi-motif Scaffolding☆31Aug 23, 2024Updated last year
- [NeurIPS 2024] source code for "A Recipe for Charge Density Prediction"☆39Dec 17, 2024Updated last year
- Multimodal Pretraining for Unsupervised Protein Representation Learning☆22Jul 30, 2024Updated last year
- Code for Explainable Synthesizability Prediction of Inorganic Crystal Polymorphs using Large Language Models☆12Feb 19, 2025Updated last year
- Introducing AlloyBERT: a transformer encoder-based model for predicting alloy properties from textual inputs. Leveraging RoBERTa and self…☆12Aug 5, 2024Updated last year
- Implementation for MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks☆24Aug 28, 2025Updated 6 months ago
- The survey on diffusion-based graph genrative methods☆21Dec 30, 2024Updated last year
- CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. (AAAI-2023)☆30Jan 15, 2025Updated last year
- ☆11Jun 11, 2025Updated 9 months ago
- Universal atomic embedding based on crystalTransfomer☆25Jan 11, 2025Updated last year
- ☆13Feb 9, 2023Updated 3 years ago
- This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials☆115Mar 9, 2026Updated 2 weeks ago
- A Generative Diffusion Model for Crystal Symmetry☆22Updated this week
- Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)☆16Mar 17, 2024Updated 2 years ago
- Atom2Vec: a simple way to describe atoms for machine learning☆37Feb 23, 2024Updated 2 years ago
- CrysXPP: An Explainable Property Predictor for Crystalline Materials (NPJ Computational Materials - 2022)☆21Jul 4, 2023Updated 2 years ago
- ☆12Jul 2, 2025Updated 8 months ago
- Minimal implementation of graph attention student model architecture☆12Jan 22, 2026Updated 2 months ago
- DiffSyn: A Generative Diffusion Approach to Materials Synthesis Planning (Nature Computational Science, 2026)☆35Feb 10, 2026Updated last month
- ☆22Jul 3, 2025Updated 8 months ago
- Gaussain plane-wave neural operator (GPWNO) is a novel approach to predict the electron density of molecule, combining two types of the b…☆27Sep 19, 2024Updated last year
- ☆12Feb 14, 2024Updated 2 years ago
- ☆11Dec 15, 2023Updated 2 years ago
- Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)☆13Jul 22, 2024Updated last year
- Artificial Intelligence Research for Science (AIRS)☆742Mar 14, 2026Updated last week
- zeo++ fork of the LSMO☆23Dec 19, 2022Updated 3 years ago
- Graph Transformer Network in PyG☆45Mar 13, 2026Updated last week
- Predict the band gap energy for inorganic materials☆19Apr 21, 2024Updated last year
- Library to extract embeddings for DNA sequences using BioFM genomics foundation model☆19Aug 13, 2025Updated 7 months ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Sep 2, 2025Updated 6 months ago
- OpenSeadragonizer: zooming browser extension☆19Jan 27, 2026Updated last month
- Neural network class for molecular dynamics to predict potential energy, forces and non-adiabatic couplings.☆11Nov 10, 2022Updated 3 years ago
- Source code for generating materials with 20 space groups using PGCGM☆34Dec 15, 2022Updated 3 years ago
- Deep learning-based prediction of regulatory genome sequences☆12Apr 20, 2020Updated 5 years ago
- [NeurIPS 2024] Official implementation of the Efficiently Scaled Attention Interatomic Potential☆60Sep 26, 2025Updated 5 months ago
- Scalable graph neural networks for materials property prediction☆63Feb 2, 2026Updated last month