awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
This package helps scientists and researchers in chemistry and biology leverage graph neural networks for analyzing molecular structures and biological networks. It takes molecular graphs or biological network data as input and can output predictions for molecular properties, assist in reaction prediction, and analyze other complex biological relationships. It is designed for life scientists who work with graph-structured data and want to apply advanced deep learning techniques.
793 stars. No commits in the last 6 months.
Use this if you are a life science researcher or practitioner working with molecular structures or biological networks and want to apply deep learning to predict properties, analyze reactions, or model complex relationships.
Not ideal if your primary data is not graph-structured, or if you need a solution for general-purpose deep learning outside of life science applications.
Stars
793
Forks
160
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 01, 2023
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