Disney (PyGOD)
Task: Outlier movie detection (co-purchase)
Size band: small · Label type: anomaly
Label column: is_outlier · Converter: converters/convert_pygod.py
Tiny Amazon co-purchase network of Disney movies (124 nodes) with 28 features and binary outlier labels. Smoke-test sized — useful for pipeline debugging, not for meaningful scores.
Converted graphs (neext/)
| graph | nodes | edges | classes | feature cols | isolated | class counts |
|---|---|---|---|---|---|---|
| default | 124 | 335 | 2 | 28 | 0 | 0: 118, 1: 6 |
Conversion notes: PyGOD .pt (torch pickle, trusted pygod-team/data source) via stub unpickling; edge_index symmetrized; 28 x_* feature columns.
Source
- disney.pt.zip — 8,987 bytes, sha256
761d111a6ec9d545…, fetched 2026-07-23
License: MIT (pygod-team/data)
Citation: Liu et al. BOND. NeurIPS 2022 D&B.
Caveats
- Only 124 nodes / ~6 outliers; treat results as sanity checks only.
Generated by converters/make_cards.py; stats from metadata.json. Raw files: source/. NEExT tables: neext/.