google-deepmind / google-deepmind/digraph_transformer
Verify evals on Papers with Code
- Dominant language
- Python
- Stars
- 122
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the [paper](https://paperswithcode.co/paper/2302.00049) and [1 paper-native evaluation](https://paperswithcode.co/paper/2302.00049#results) available on Papers with Code.
The paper is part of the [Graph Classification](https://paperswithcode.co/tasks/graph-classification) task page.
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected?
You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.
If you'd like to showcase the results in your repository README, you can copy these live leaderboard badges (or use the “Copy PwC badge” button in the Results section):
[](https://paperswithcode.co/api/v1/papers/2302.00049/leaderboard-badge-link?eval=12754)
Kind regards,
Niels
Contributor guide
Research direction
Start with the linked Papers with Code paper, results, and Graph Classification task page, then compare the listed scores, model name, benchmark protocol, and openness metadata with the paper. Done means confirming the entries or reporting the corrections needed; the issue names no repository files or tests.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100