Graph explainability : feature suggestion
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.5k
- Forks
- 204
- Avg merge
- 13m
- Merged PRs (30d)
- 1
Description
It would be interesting to add a feature for model explainability like GNNExplainer, PGExplainer, or any other explainability method.
Contributor guide
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 reviewing the TensorFlow GNN explainability APIs and the methods named in the issue: GNNExplainer and PGExplainer. The issue does not identify files, entry points, tests, or a preferred method, so the scope and completion criteria need to be clarified before implementation can begin.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100