rsinghlab/K-Paths

Official Implementation of K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction.

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Experimental

Researchers and drug discovery scientists can use this to better understand and predict how drugs interact with each other or with diseases. It takes existing biological knowledge graphs as input and extracts specific, understandable 'reasoning paths' that explain these relationships. The output is a set of curated paths that can be used to inform large language models or graph neural networks, making predictions about new drug interactions or drug repurposing more accurate and explainable.

No commits in the last 6 months.

Use this if you need to predict new drug-drug interactions or identify new uses for existing drugs, and you want clear, biologically meaningful explanations for those predictions.

Not ideal if you are working with simple datasets or do not require interpretable, path-based explanations for your predictions.

drug-discovery pharmacology biomedical-research drug-repurposing drug-interactions
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 12 / 25

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Language

Python

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Last pushed

Jul 08, 2025

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