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+ ---
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+ language: []
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+ pretty_name: QM9
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+ config_name: qm9
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+ tags:
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+ - graphs
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+ - molecules
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+ - chemistry
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+ task_categories:
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+ - graph-regression
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+ homepage: https://pytorch-geometric.readthedocs.io/en/latest/_modules/torch_geometric/datasets/qm9.html#QM9
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+ ---
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+
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+ # qm9
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+
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+ QM9 molecular graphs with 3D coordinates and 19 regression targets (MoleculeNet).
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+
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+ ## Splits
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+
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+ | Split | File |
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+ | --- | --- |
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+ | train | `train.parquet` |
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+ | validation | `val.parquet` |
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+ | test | `test.parquet` |
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+
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+ ## Features
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+
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+ - **mol_id**: int64 unique identifier per molecule
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+ - **x**: list[float32[11]], shape (num_nodes, 11), atom features from PyG QM9
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+ - **z**: list[int64], shape (num_nodes,), atomic numbers
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+ - **pos**: list[float32[3]], shape (num_nodes, 3), 3D coordinates in Angstrom
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+ - **edge_index**: int64[2, num_edges], COO adjacency
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+ - **edge_attr**: list[float32[4]], shape (num_edges, 4), bond features from PyG QM9
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+ - **smiles**: string canonical SMILES
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+ - **y**: list[float32], length 19, regression targets (converted units per PyG)
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+
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+ ## References
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+
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+ - PyTorch Geometric QM9 implementation: `https://pytorch-geometric.readthedocs.io/en/latest/_modules/torch_geometric/datasets/qm9.html#QM9`
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+ - MoleculeNet paper: `https://arxiv.org/abs/1703.00564`
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+
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