| # Minesweeper |
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| **Task**: Mine prediction on a synthetic grid |
| **Size band**: medium · **Label type**: structural |
| **Label column**: `is_mine` · **Converter**: `converters/convert_npz.py` |
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| 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. |
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| ## Converted graphs (neext/) |
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| | graph | nodes | edges | classes | feature cols | isolated | class counts | |
| |---|---|---|---|---|---|---| |
| | default | 10,000 | 39,402 | 2 | 7 | 0 | 0: 8,000, 1: 2,000 | |
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| *Conversion notes*: yandex heterophilous-graphs npz; edges symmetrized; 7 f_* feature columns. |
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| ## Source |
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| - [minesweeper.npz](https://raw.githubusercontent.com/yandex-research/heterophilous-graphs/main/data/minesweeper.npz) — 135,045 bytes, sha256 `e664c8dacf1e8ac4…`, fetched 2026-07-23 |
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| **License**: MIT (yandex-research) |
| **Citation**: Platonov et al. ICLR 2023. |
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| - https://github.com/yandex-research/heterophilous-graphs |
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| ## Caveats |
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| - Synthetic; the known optimal strategy bounds achievable AUC. |
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| --- |
| *Generated by converters/make_cards.py; stats from metadata.json. Raw files: `source/`. NEExT tables: `neext/`.* |
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