{ "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" ] }