microsoft / microsoft/Graphormer
How to train graphormer for graph classification and graph similarity learning tasks with out using fairseq?
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- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 374
- PR merge metrics
- No merged PRs in 30d
Description
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Contributor guide
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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
The issue body contains no requested change, files, tests, or entry points. Begin by reviewing the repository's existing Graphormer training guidance and examples, then determine whether fairseq-free graph classification and graph similarity workflows are documented. Done would require a concrete, maintainable answer with a clear scope and validation steps.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100