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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