JuliaGraphs / JuliaGraphs/GraphNeuralNetworks.jl
Pooling support for HeteroGraphs
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 308
- Forks
- 74
- Avg merge
- 3d 6h
- Merged PRs (30d)
- 2
Description
While browsing the codebase I noticed that there're some Convolution functions that support HeteroGraphs while there's none Pooling functions that support HeteroGraphs. So I thought it would be good to add this feature.
List of existing functions that need to be extended:
- GlobalPool
- GlobalAttentionPool
- TopKPool
- Set2Set
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
Start by reading the existing HeteroGraph convolution support and the implementations of GlobalPool, GlobalAttentionPool, TopKPool, and Set2Set. Compare their current handling of graph inputs, then check that each listed pooling function supports HeteroGraphs and that the relevant existing tests pass or are extended to cover the new behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100