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{
"dataset": "ogbg-molhiv",
"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": {
"Ext. data": "No",
"Number of params": "1076633",
"Test ROC-AUC": "0.8040 \u00b1 0.0164",
"Validation ROC-AUC": "0.8329 \u00b1 0.0158"
},
"table_metrics": {
"Ext. data": "No",
"Number of params": "1076633",
"Test ROC-AUC": "0.8040 \u00b1 0.0164",
"Validation ROC-AUC": "0.8329 \u00b1 0.0158"
},
"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 ogbg-molhiv dataset. The result should improve on the following metrics: {'Ext. data': 'No', 'Number of params': '1076633', 'Test ROC-AUC': '0.8040 \u00b1 0.0164', 'Validation ROC-AUC': '0.8329 \u00b1 0.0158'}. You must use only the codebase provided."
]
}

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