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conftrace_

geometric deep learning

138 papers

GDL

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