Buckets:
| { | |
| "dataset": "MNIST", | |
| "model_name": "GatedGCN+", | |
| "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": { | |
| "Accuracy": "98.712 \u00b1 0.137" | |
| }, | |
| "table_metrics": { | |
| "Accuracy": "98.712 \u00b1 0.137" | |
| }, | |
| "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 GatedGCN+ model on the MNIST dataset. The result should improve on the following metrics: {'Accuracy': '98.712 \u00b1 0.137'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 762 Bytes
- Xet hash:
- eeb40a5f53f40856781cd87685c5a8440d392b6f8f1445fc371863340cdc76d3
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.