coauthor-cs/metadata.json

{
  "name": "coauthor-cs",
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/shchur/gnn-benchmark/master/data/npz/ms_academic_cs.npz",
      "final_url": "https://raw.githubusercontent.com/shchur/gnn-benchmark/master/data/npz/ms_academic_cs.npz",
      "filename": "ms_academic_cs.npz",
      "bytes": 12835626,
      "sha256": "933c745734e78908c7eb77172a673fee0503f30e26e5a99b36814d88534c42e3",
      "downloaded_at": "2026-07-23T02:14:49+00:00"
    }
  ],
  "conversion": {
    "script": "convert_npz.py",
    "label_column": "field",
    "notes": "shchur gnn-benchmark npz; CSR adjacency symmetrized. Feature matrix too large for CSV (skipped; available in source npz).",
    "parquet": true,
    "parquet_notes": "nodes.parquet includes the full feature matrix omitted from nodes.csv for size."
  },
  "graphs": {
    "default": {
      "nodes": 18333,
      "edges": 81894,
      "label_column": "field",
      "classes": 15,
      "class_counts": {
        "13": 4136,
        "5": 2193,
        "2": 2050,
        "11": 2033,
        "10": 1444,
        "4": 1394,
        "7": 924,
        "14": 876,
        "8": 775,
        "0": 708,
        "1": 462,
        "3": 429,
        "12": 420,
        "6": 371,
        "9": 118
      },
      "isolated_nodes": 0,
      "feature_columns": 0
    }
  },
  "title": "Coauthor CS",
  "band": "medium",
  "label_type": "semantic",
  "task": "Research-field classification (co-authorship)",
  "license": "MIT (shchur packaging)",
  "citation": "Shchur et al. Pitfalls of GNN Evaluation. 2018.",
  "links": [
    "https://github.com/shchur/gnn-benchmark"
  ]
}