arunppsg/awesome-e3nn

Resource on E(3) Euclidean Neural Network

Books

• Group Theory in a Nutshell for Physicists by Anthony Zee
• Introduction to Quantum Mechanics, Griffith
• Deep Learning for Molecules and Materials, Andrew White
• Geometric Deep Learning

Video Lectures

• Geometric Deep Learning by Michael Bronstein
• UvA - An Introduction to Group Equivariant Deep Learning - course website

Papers

Equivariant Neural Networks

• Tensor Field Networks
• 3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
• Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Group Equivariance

• On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

Blogs

• Visual Notes on Spherical Harmonics

Prerequisite Topics

Topics which are good to know about before learning about equivariant networks:

• Group definition and example of groups
• Invariance, equivariance and representations
• Irreducible representations, Wigner-D matrices
• Spherical harmonics
• Clebsch-Gordon coefficients