conftrace_

equivariant graph neural network

7 papers

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Also known as

EGNN

Co-occurring keywords

geometric deep learning (117) molecular property prediction (84) message passing (579) positional encoding (182) high-degree representation (1) steerable vector (1) symmetric structure (2) n-body system (1) spherical harmonics (38) molecular modeling (10)

Papers

Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization AAAI 2026
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks AAAI 2026
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NIPS 2024
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NIPS 2024
Geometric Transformer with Interatomic Positional Encoding NIPS 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks NIPS 2023
Equivariant Graph Hierarchy-Based Neural Networks NIPS 2022