Equivariant Neural Networks | Part 3/3 - Transformers and GNNs

▬▬ Papers / Resources ▬▬▬
SchNet: https://arxiv.org/abs/1706.08566
SE(3) Transformer: https://arxiv.org/abs/2006.10503
Tensor Field Network: https://arxiv.org/abs/1802.08219
Spherical Harmonics Youtube Video: https://www.youtube.com/watch?v=EcKgJhFdtEY&ab_channel=BJBodner
Spherical Harmonics Formula: https://www.youtube.com/watch?v=5PMqf3Hj-Aw&ab_channel=ProfessorMdoesScience
Tensor Field Network Jupyter Notebook: https://github.com/UPEIChemistry/tensor-field-networks/blob/master/tutorials/tutorial.ipynb
SE(3) Repo: https://github.com/FabianFuchsML/se3-transformer-public/
NVIDIA Updated Version: https://developer.nvidia.com/blog/accelerating-se3-transformers-training-using-an-nvidia-open-source-model-implementation/

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from #Uppbeat (free for Creators!):
https://uppbeat.io/t/yokonap/birds
License code: WXVHOOZRRWDUCKIU

▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬
All Icons are from flaticon: https://www.flaticon.com/authors/freepik

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:43 Points, Graphs and Sets
01:11 Inductive Biases & Equivariance
03:15 3D is not commutative
04:38 SchNet
05:48 Tensor Field Networks
07:17 Math Terminology
12:47 Hands on TFNs
13:08 SE(3) Transformer
15:24 Hands on SE(3) Transf

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