microsoft / microsoft/Graphormer
Graphormer module
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Description
How can I use the graphormer model with custom dataloader and training scripts (not the fairseq commands)?
My data consists of DGL graphs and my setup uses DGL GraphConv layers. I want to use Graphormer as a torch.nn.Module (like any other GNN layer) and encode DGL graphs in my setup. How can I use Graphormer model alone and replace DGL GraphConv layers with Graphormer layers?
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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 model entry points and the fairseq command-based path referenced in the issue, then compare them with the custom DGL dataloader and training setup described. Done would be a documented, supported path for using Graphormer as a torch.nn.Module with DGL graphs, or a clear statement of the required integration boundary.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100