Co-occurring keywords · papers mentioning both
Papers
SIGMA: Scale-Invariant Global Sparse Shape Matching
ICCV 2023
Smooth, exact rotational symmetrization for deep learning on point clouds
NeurIPS 2023
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes
MIDL 2023
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
NeurIPS 2023
Toward Convex Manifolds: A Geometric Perspective for Deep Graph Clustering of Single-cell RNA-seq Data
IJCAI 2023
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching
CVPR 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction
ICML 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
CVPR 2022
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
ICML 2022
Generating 3D Molecules for Target Protein Binding
ICML 2022
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
NeurIPS 2022
Graph Scattering beyond Wavelet Shackles
NeurIPS 2022
Learning Partial Equivariances From Data
NeurIPS 2022
MAtt: A Manifold Attention Network for EEG Decoding
NeurIPS 2022
Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors
CVPR 2022
On Non-Linear operators for Geometric Deep Learning
NeurIPS 2022
Orthogonal Multi-Manifold Enriching of Directed Networks
AISTATS 2022
Pseudo-Riemannian Graph Convolutional Networks
NeurIPS 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
ICML 2022
Universal Approximation Theorems for Differentiable Geometric Deep Learning
JMLR 2022
A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.
CVPR 2021
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus
EMNLP 2021
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction
NeurIPS 2021
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
ICCV 2021
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning
AAAI 2021