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{
"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."
]
}

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