conftrace_

geometric deep learning

117 papers

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Also known as

GDL

Co-occurring keywords

graph neural network (3962) point cloud (1480) manifold learning (403) 3d vision (1098) equivariant neural network (75) mesh processing (31) neural network (6616) shape correspondence (55) convolutional neural network (4226) diffusion model (3751)

Papers

ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour ICCV 2023
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More NIPS 2023
Stage Detection of Mild Cognitive Impairment: Region-dependent Graph Representation Learning on Brain Morphable Meshes MIDL 2023
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation CVPR 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance NIPS 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks NIPS 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NIPS 2023
Is Distance Matrix Enough for Geometric Deep Learning? NIPS 2023
On the Expressive Power of Geometric Graph Neural Networks ICML 2023
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning NIPS 2023
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis ICML 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames ICML 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction ICML 2022
Orthogonal Multi-Manifold Enriching of Directed Networks AISTATS 2022
MAtt: A Manifold Attention Network for EEG Decoding NIPS 2022
Learning Partial Equivariances From Data NIPS 2022
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks NIPS 2022
Universal Approximation Theorems for Differentiable Geometric Deep Learning JMLR 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing CVPR 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching CVPR 2022
Graph Scattering beyond Wavelet Shackles NIPS 2022
Pseudo-Riemannian Graph Convolutional Networks NIPS 2022
On Non-Linear operators for Geometric Deep Learning NIPS 2022
Neural Shape Mating: Self-Supervised Object Assembly With Adversarial Shape Priors CVPR 2022
Generating 3D Molecules for Target Protein Binding ICML 2022