Co-occurring keywords · papers mentioning both
Papers
A General Framework for Equivariant Neural Networks on Reductive Lie Groups
NeurIPS 2023
A Geometric Deep Learning Framework for Generation of Virtual Left Ventricles as Graphs
MIDL 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
ICML 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks
NeurIPS 2023
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape Correspondence
WACV 2023
ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour
ICCV 2023
DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations
AAAI 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields
NeurIPS 2023
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs
AAAI 2023
Equivariant Message Passing Neural Network for Crystal Material Discovery
AAAI 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
NeurIPS 2023
Geometric Algebra Transformer
NeurIPS 2023
Geometrically regularized autoencoders for non-Euclidean data
ICLR 2023
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation
CVPR 2023
Interpretable Geometric Deep Learning via Learnable Randomness Injection
ICLR 2023
Is Distance Matrix Enough for Geometric Deep Learning?
NeurIPS 2023
Learning Harmonic Molecular Representations on Riemannian Manifold
ICLR 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing
NeurIPS 2023
Molecule Generation For Target Protein Binding with Structural Motifs
ICLR 2023
Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
CVPR 2023
On the Expressive Power of Geometric Graph Neural Networks
ICML 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More
NeurIPS 2023
Riemannian Residual Neural Networks
NeurIPS 2023
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds
NeurIPS 2023
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning
NeurIPS 2023