microsoft / microsoft/Graphormer
How to train Graphormer for autoregressive task?
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- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 374
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Description
Can we train Graphormer to generate graphs, like what the GPT models do in text generation? Can we apply attention masks similar to the GPT models?
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
No files, tests, or entry points are named in the issue. Start by locating the Graphormer model and training entry points, then investigate whether autoregressive graph generation and GPT-style attention masks are supported; done would require an agreed design and demonstrated training behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100