{ "name": "coauthor-physics", "sources": [ { "url": "https://raw.githubusercontent.com/shchur/gnn-benchmark/master/data/npz/ms_academic_phy.npz", "final_url": "https://raw.githubusercontent.com/shchur/gnn-benchmark/master/data/npz/ms_academic_phy.npz", "filename": "ms_academic_phy.npz", "bytes": 16374005, "sha256": "e4d68468eba5fb8f6b280ffd406bd53e6e4295ba1dd2967d6fe99b978e4b3375", "downloaded_at": "2026-07-23T02:14:50+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": 34493, "edges": 247962, "label_column": "field", "classes": 5, "class_counts": { "2": 17426, "0": 5750, "1": 5045, "4": 3519, "3": 2753 }, "isolated_nodes": 0, "feature_columns": 0 } }, "title": "Coauthor Physics", "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" ] }