JuliaGraphs / JuliaGraphs/GraphNeuralNetworks.jl
add more Equivariant Layers
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 308
- Forks
- 74
- Avg merge
- 3d 6h
- Merged PRs (30d)
- 2
Description
This repo contains a collection of Euclidean Equivariant layers, we can think of implementing some of them
Some work has been done by @Dsantra92 in
https://github.com/Dsantra92/e3nn.jl
Maybe we can incorporate that in the main library here
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by reviewing the existing Euclidean equivariant layers, then compare the implementations in e3nn and e3nn.jl linked in the issue. Done would require agreeing on which additional layers to support and incorporating them into the main library with corresponding validation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100