StellarGraph
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
What is StellarGraph?
StellarGraph is a Python library for machine learning on graphs and networks, providing state-of-the-art algorithms to analyze graph-structured data. It solves tasks like node classification, link prediction, and representation learning for homogeneous, heterogeneous, and knowledge graphs, helping users uncover patterns in relational data.
Data scientists, machine learning engineers, and researchers working with graph-structured data, such as social networks, knowledge graphs, or biological networks, who need scalable and modular tools for graph machine learning.
Developers choose StellarGraph for its comprehensive suite of graph algorithms, seamless integration with TensorFlow 2 and Keras, and user-friendly design that interoperates with popular Python libraries like Pandas and scikit-learn.
Overview
StellarGraph - Machine Learning on Graphs
Use Cases
Best For
- Node classification and attribute inference in social networks
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