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README.md
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- **[Homepage](https://academic.oup.com/bioinformatics/article/21/suppl_1/i47/202991)**
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- **[Repository](https://www.chrsmrrs.com/graphkerneldatasets/PROTEINS.zip):**:
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- **Paper:**: Protein function prediction via graph kernels (see citation)
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- **Leaderboard:**: [Papers with code leaderboard](https://paperswithcode.com/sota/)
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### Dataset Summary
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### Supported Tasks and Leaderboards
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`PROTEINS` should be used for molecular property prediction (aiming to predict whether molecules are enzymes or not), a binary classification task. The score used is accuracy.
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The associated leaderboard is here: [Papers with code leaderboard](https://paperswithcode.com/sota/graph-classification-on-proteins).
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## External Use
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### PyGeometric
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- **[Homepage](https://academic.oup.com/bioinformatics/article/21/suppl_1/i47/202991)**
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- **[Repository](https://www.chrsmrrs.com/graphkerneldatasets/PROTEINS.zip):**:
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- **Paper:**: Protein function prediction via graph kernels (see citation)
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- **Leaderboard:**: [Papers with code leaderboard](https://paperswithcode.com/sota/graph-classification-on-proteins)
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### Dataset Summary
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### Supported Tasks and Leaderboards
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`PROTEINS` should be used for molecular property prediction (aiming to predict whether molecules are enzymes or not), a binary classification task. The score used is accuracy, using a 10-fold cross-validation.
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## External Use
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### PyGeometric
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