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1. DenseGNN DenseGNN Public

   DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules

   Jupyter Notebook 30 9

2. SSE SSE Public

   Assessment and Application of Universal Machine Learning Interatomic Potentials in Solid-State Electrolyte Research

   Jupyter Notebook 11 3

3. DenseGNN-torch DenseGNN-torch Public

   Official implementation of DenseGNN — a universal, scalable, and efficient graph neural network (GNN) for high-performance property prediction in crystals and molecules.

   Python

4. MatCascade MatCascade Public

   A Hierarchical Synergistic Deep Learning Framework Integrating Composition, Structure, and Ionic Transport for Solid-State Electrolyte Discovery

   Python

5. L-G-DCNN L-G-DCNN Public

   Rational Design of Deep Learning Networks Based on a Fusion Strategy for Improved Material Property Predictions

   Python

6. kgcnn-torch kgcnn-torch Public

   Forked from DingyangLyu/kgcnn-torch

   Python