ogbl-ddi_GCN_(node_embedding)/metadata.json

{
  "dataset": "ogbl-ddi",
  "model_name": "GCN (node embedding)",
  "model_links": [],
  "paper_title": "Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods",
  "paper_url": "https://arxiv.org/abs/2411.14711v1",
  "metrics": {
    "Ext. data": "No",
    "Number of params": "5125250",
    "Test Hits@20": "0.9549 \u00b1 0.0073",
    "Validation Hits@20": "0.9098 \u00b1 0.0294"
  },
  "table_metrics": {
    "Ext. data": "No",
    "Number of params": "5125250",
    "Test Hits@20": "0.9549 \u00b1 0.0073",
    "Validation Hits@20": "0.9098 \u00b1 0.0294"
  },
  "prompts": [
    "Given the following paper and codebase:\nPaper: Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods\nCodebase: Repository not available\n\nImprove the GCN (node embedding) model on the ogbl-ddi dataset. The result should improve on the following metrics: {'Ext. data': 'No', 'Number of params': '5125250', 'Test Hits@20': '0.9549 \u00b1 0.0073', 'Validation Hits@20': '0.9098 \u00b1 0.0294'}. You must use only the codebase provided."
  ]
}