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- [ ] General forms using spherical harmonics
https://www.nature.com/articles/s41467-022-29939-5
https://docs.e3nn.org/en/latest/guide/convolution.html
- [x] Simpler equivariant layers
https://p…
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[e3nn](https://www.connectedpapers.com/main/c7215ab4589ce3590910c597e86b1aba8e460d49/e3nn%3A-Euclidean-Neural-Networks/graph)
```mermaid
flowchart TD;
A[Freeman,1991\nThe design and use of stee…
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In the section"Model Definition", IrrepsData is imported from e3nn-jax.
`from e3nn_jax import IrrepsData`
But this file is deleted from e3nn-jax, so I think it may need to be replaced by Irreps?
…
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## 🚀 Feature
An implementation of group-equivariant convolutions defined by Cohen et. al in the paper 'Group equivariant convolutions' - in ICML 2016.
Specifically, an implementation of the group-co…
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- [x] `EquivGraphConv` layer
- [ ] `EGNN` network and example
> Ref. [E(n) Equivariant Graph Neural Networks](https://arxiv.org/abs/2102.09844)
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- [ ] `GConv` layer (G-convolution)
- [ ] `GPool` layer (G-pooling)
- [ ] `GCNN` example
> Ref. [Group Equivariant Convolutional Networks](http://proceedings.mlr.press/v48/cohenc16.html)
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### Motivation and description
Group equivariant CNN (G-CNN) embed rotation invariance or (and) scale invariance on top of translation invariance in CNNs.
Some references:
- [Group Equivariant Conv…
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Hi,
Thank you for sharing your code.
I just wander to know is there any differences between rot-inv-conv and Group "Equivariant Convolutional Networks" that has been proposed by Cohen?
Thanks…
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**General Interpretability:**
- [interpretable ml book](https://christophm.github.io/interpretable-ml-book/shapley.html), specifically sections on `learned features`, `Shapley values`, `Influential I…