microsoft / microsoft/Graphormer
About Periodic boundary condition invariance
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.5k
- Forks
- 374
- PR merge metrics
- No merged PRs in 30d
Description
For general MPNN as CGCNN and Schnet, crystal graph as multi-graph is invariant under different supercell. I wonder if Graphormer can achieve the same invariance. More specifically, will the results of a unit cell input structure and a supercell structure of Graphormer keep the same? I don't think it achieve pbc invariance as the graph is changed for different supercell. I'm surprised that Graphormer can performs excellent not only molecules but also crystals! Thanks.
Contributor guide
No contributing guide indexed for this repository
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 names no file, test, or entry point. Start by locating Graphormer's crystal-structure data and graph construction paths, then compare outputs for unit-cell and supercell inputs; done means establishing whether periodic-boundary invariance holds or defining the required change.
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