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{
"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."
]
}

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