A collection of resources to help beginners get started with geometric deep learning
Geometric Deep Learning Blueprint
A conversation with Professor Michael Bronstein, Dr. Petar Veličković, Dr. Taco Cohen and Prof. Joan Bruna
Machine Learning Street Talk- Quantum, Manifolds & Symmetries in ML
A conversation with Professor Max Welling
Towards Data Science
A conversation with Professor Max Welling
The TWIML AI Podcast
A conversation with Professor Michael Bronstein and Prof. Joan Bruna
Geometry, Geometry and more Geometry with Dr. Matthew Satriano
A conversation with Professor Dr. Matthew Satriano
A short history of symmetry
In this podcast series Professor Ian Stewart of Warwick's Department of Mathematics explores the history of symmetry and its impact on mathematics, physics and our understanding of the Universe.
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
Workshop on Equivariance and Data Augmentation
Theoretical Foundations of Graph Neural Networks
Geometric Deep Learning: GNNs Beyond Permutation Equivariance
Symmetries of the Universe | ScienceClic
CIS COLLOQUIUM: Prof. Michael Bronstein - Geometric Deep Learning: from Euclid to drug design
Max Welling Talk on Graphs
Geometric Deep Learning: Geordie Williamson
Deep Learning
Group Equivariant Deep Learning
Equivariant Neural Networks | Short Video Serier by DeepFindr
Pytorch Geometric tutorial
AMMI 2022 Course "Geometric Deep Learning"
First Italian School on Geometric Deep Learning - Pescara 2022
Multi Task and Meta Learning
Graphs and Geometry Reading Group
Euclidian Symmetry in Machine Learning for Material Science
Stanford CS330: Deep Multi-Task & Meta Learning
Visual Group Theory
Group Theory - Richard E. BORCHERDS
You Could Have Invented Homology
Categories for AI\
ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein
Workshop on Equivariance and Data Augmentation
Theoretical Foundations of Graph Neural Networks
Geometric Deep Learning: GNNs Beyond Permutation Equivariance
Symmetries of the Universe | ScienceClic
CIS COLLOQUIUM: Prof. Michael Bronstein - Geometric Deep Learning: from Euclid to drug design
Max Welling Talk on Graphs
Geometric Deep Learning: Geordie Williamson
Symmetry and Equivariance in Neural Networks - Tess Smidt
Geometric Deep Learning Proto Book
Equivariance For Deep Learning And
Retinal Imaging
Improving training of deep learning
for biomedical image analysis and
computational physics
Deep Learning for Molecules and Materials\
Conv Nets: A Modular Perspective
Understanding Convolutions
Groups & Group Convolutions
Geometric foundations of Deep Learning
Noethers Theorem | Fabian Fuchs
Equivariance part 1 | Fabian Fuchs
Equivariance part 2 | Fabian Fuchs
Naturally Occurring Equivariance in Neural Networks
Aleksa Gordic | Introduction to Graph Attention Networks\
Aman.ai
Transformers are Graph Neural Networks
DeepMind x UCL | Deep Learning Lectures | 7/12 | Deep Learning for Natural Language Processing
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective