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README.md
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# Model Card
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[](https://
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[](https://arxiv.org)
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[](https://github.com/mims-harvard/PROTON)
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[](https://huggingface.co/mims-harvard/PROTON)
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## Training Data
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PROTON was trained on NeuroKG, a heterogeneous, undirected biomedical knowledge graph contextualized to the human brain. NeuroKG unifies 36 human datasets and ontologies, and integrates single-nucleus RNA-sequencing atlases comprising 3,756,702 cells from the adult human brain. The knowledge graph contains 147,020 nodes across 16 entity types and 7,366,745 edges across 47 relation types. NeuroKG is available via Harvard Dataverse at DOI: [10.7910/DVN/ZDLS3K](https://doi.org/10.7910/DVN/ZDLS3K). For more details, please refer to our [project website](https://
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## Model Architecture
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- `embeddings.csv`: Embedding store as a CSV file.
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- `disease_splits/`: Directory containing embeddings of PROTON trained on disease-centric splits.
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Files within the `disease_splits/` directory follow the naming convention `{node_id}_{artifact}`, where `{node_id}` represents the unique identifier for the disease node in [NeuroKG](https://doi.org/10.7910/DVN/ZDLS3K). For more details, please refer to our [project website](https://
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## Usage Instructions
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# Model Card
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[](https://protonmodel.ai/)
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[](https://arxiv.org)
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[](https://github.com/mims-harvard/PROTON)
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[](https://huggingface.co/mims-harvard/PROTON)
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## Training Data
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PROTON was trained on NeuroKG, a heterogeneous, undirected biomedical knowledge graph contextualized to the human brain. NeuroKG unifies 36 human datasets and ontologies, and integrates single-nucleus RNA-sequencing atlases comprising 3,756,702 cells from the adult human brain. The knowledge graph contains 147,020 nodes across 16 entity types and 7,366,745 edges across 47 relation types. NeuroKG is available via Harvard Dataverse at DOI: [10.7910/DVN/ZDLS3K](https://doi.org/10.7910/DVN/ZDLS3K). For more details, please refer to our [project website](https://protonmodel.ai/).
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## Model Architecture
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- `embeddings.csv`: Embedding store as a CSV file.
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- `disease_splits/`: Directory containing embeddings of PROTON trained on disease-centric splits.
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Files within the `disease_splits/` directory follow the naming convention `{node_id}_{artifact}`, where `{node_id}` represents the unique identifier for the disease node in [NeuroKG](https://doi.org/10.7910/DVN/ZDLS3K). For more details, please refer to our [project website](https://protonmodel.ai/).
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## Usage Instructions
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