Co-occurring keywords
Papers
Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers
AISTATS 2024
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
NIPS 2024
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
AAAI 2024
UniIF: Unified Molecule Inverse Folding
NIPS 2024
Geometric Trajectory Diffusion Models
NIPS 2024
E(3)-Equivariant Mesh Neural Networks
AISTATS 2024
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation
CVPR 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
NIPS 2023
Riemannian Residual Neural Networks
NIPS 2023