Protein hierachy#
resource
Paper list#
3d graph network#
- Protein Representation Learning by Geometric Structure Pretraining
- Learning hierarchical protein representations via complete 3d graph networks
relevant paper#
- Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials NIPS2023
- A new perspective on building efficient and expressive 3D equivariant graph neural networks NIPS2023
- Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation NIPS2023
Article in submission#
- A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications
- Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules
Last update:
2024年6月15日 15:57:56
Created: 2024年4月15日 11:06:05
Created: 2024年4月15日 11:06:05