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{
"dataset": "ZINC",
"model_name": "NeuralWalker",
"model_links": [],
"paper_title": "Learning Long Range Dependencies on Graphs via Random Walks",
"paper_url": "https://arxiv.org/abs/2406.03386v2",
"metrics": {
"MAE": "0.065 \u00b1 0.001"
},
"table_metrics": {
"MAE": "0.065 \u00b1 0.001"
},
"prompts": [
"Given the following paper and codebase:\nPaper: Learning Long Range Dependencies on Graphs via Random Walks\nCodebase: Repository not available\n\nImprove the NeuralWalker model on the ZINC dataset. The result should improve on the following metrics: {'MAE': '0.065 \u00b1 0.001'}. You must use only the codebase provided."
]
}

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