JuliaGraphs / JuliaGraphs/GraphNeuralNetworks.jl
missing pooling operators
Open
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 308
- Forks
- 74
- Avg merge
- 3d 6h
- Merged PRs (30d)
- 2
Description
- DiffPool. paper: https://arxiv.org/abs/1806.08804
- MinCutPool. paper: https://arxiv.org/abs/1907.00481
- Graculus. paper: https://www.cs.utexas.edu/users/inderjit/public_papers/multilevel_pami.pdf / https://arxiv.org/pdf/1606.09375.pdf
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 repository files, tests, or entry points are named. Start by reading the DiffPool, MinCutPool, and Graculus papers linked in the checklist, then inspect the repository to determine the appropriate integration points. Done means the listed missing pooling operators are implemented and covered by the project's relevant checks.
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