Coauthor Physics
Task: Research-field classification (co-authorship)
Size band: medium · Label type: semantic
Label column: field · Converter: converters/convert_npz.py
Microsoft Academic co-authorship graph in physics; 5 field classes; the largest shchur benchmark (34.5k nodes).
Converted graphs (neext/)
| graph | nodes | edges | classes | feature cols | isolated | class counts |
|---|---|---|---|---|---|---|
| default | 34,493 | 247,962 | 5 | 0 | 0 | 2: 17,426, 0: 5,750, 1: 5,045, 4: 3,519, 3: 2,753 |
Conversion notes: shchur gnn-benchmark npz; CSR adjacency symmetrized. Feature matrix too large for CSV (skipped; available in source npz).
Source
- ms_academic_phy.npz — 16,374,005 bytes, sha256
e4d68468eba5fb8f…, fetched 2026-07-23
License: MIT (shchur packaging)
Citation: Shchur et al. Pitfalls of GNN Evaluation. 2018.
Caveats
- 8,415-dim features exceed the CSV budget — label-only nodes.csv; features remain in the source npz.
Generated by converters/make_cards.py; stats from metadata.json. Raw files: source/. NEExT tables: neext/.