Amazon Computers
Task: Product category classification (co-purchase)
Size band: medium · Label type: semantic
Label column: category · Converter: converters/convert_npz.py
Amazon co-purchase graph of computer products; 10 category classes, 767 binary bag-of-words review features.
Converted graphs (neext/)
| graph | nodes | edges | classes | feature cols | isolated | class counts |
|---|---|---|---|---|---|---|
| default | 13,752 | 245,861 | 10 | 767 | 281 | 4: 5,158, 8: 2,156, 1: 2,142, 2: 1,414, 7: 818, 3: 542, … |
Conversion notes: shchur gnn-benchmark npz; CSR adjacency symmetrized. 767 binary w_* feature columns.
Source
- amazon_electronics_computers.npz — 31,921,488 bytes, sha256
736ba1d9fd85eac2…, fetched 2026-07-23
License: MIT (shchur/gnn-benchmark packaging)
Citation: Shchur, Mumme, Bojchevski, Günnemann. Pitfalls of Graph Neural Network Evaluation. R2L @ NeurIPS 2018.
Caveats
- Contains isolated nodes; largest-component filtering will drop some labeled nodes.
Generated by converters/make_cards.py; stats from metadata.json. Raw files: source/. NEExT tables: neext/.