microsoft / microsoft/Graphormer
Can Graphormer be modified to accommodate node classification and link prediction problems?
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enhancement
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 374
- PR merge metrics
- No merged PRs in 30d
Description
Can Graphormer be modified to accommodate node classification and link prediction problems?
Can you give a few examples?
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
Start by reviewing the Graphormer repository's Python implementation and its molecular-modeling usage to determine how node classification and link prediction would fit. Define concrete examples and acceptance criteria before estimating implementation work; the issue names no file, test, or entry point.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100