Minesweeper
Task: Mine prediction on a synthetic grid
Size band: medium · Label type: structural
Label column: is_mine · Converter: converters/convert_npz.py
Synthetic 100x100 grid graph in the minesweeper style: 20% of cells are mines, features are one-hot counts of neighboring mines. Fully structural and regular — a controlled probe of what egonet embeddings can and cannot see.
Converted graphs (neext/)
| graph | nodes | edges | classes | feature cols | isolated | class counts |
|---|---|---|---|---|---|---|
| default | 10,000 | 39,402 | 2 | 7 | 0 | 0: 8,000, 1: 2,000 |
Conversion notes: yandex heterophilous-graphs npz; edges symmetrized; 7 f_* feature columns.
Source
- minesweeper.npz — 135,045 bytes, sha256
e664c8dacf1e8ac4…, fetched 2026-07-23
License: MIT (yandex-research)
Citation: Platonov et al. ICLR 2023.
Caveats
- Synthetic; the known optimal strategy bounds achievable AUC.
Generated by converters/make_cards.py; stats from metadata.json. Raw files: source/. NEExT tables: neext/.