Buckets:
| { | |
| "dataset": "Peptides-struct", | |
| "model_name": "GCN+", | |
| "model_links": [], | |
| "paper_title": "Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence", | |
| "paper_url": "https://arxiv.org/abs/2502.09263v1", | |
| "metrics": { | |
| "MAE": "0.2421 \u00b1 0.0016" | |
| }, | |
| "table_metrics": { | |
| "MAE": "0.2421 \u00b1 0.0016" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\nPaper: Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence\nCodebase: Repository not available\n\nImprove the GCN+ model on the Peptides-struct dataset. The result should improve on the following metrics: {'MAE': '0.2421 \u00b1 0.0016'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 760 Bytes
- Xet hash:
- 11f394e7ba4ee5436847e44e057f41a3279c70e3a32ad99b629351d78da4cdfd
·
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