StellarGraph

What it is

StellarGraph is a Python library that enables machine learning on graph-structured data, providing tools and algorithms to analyze complex networks and relationships within the data.

StellarGraph stands out by providing comprehensive support for graph neural networks and deep learning on graphs, making it ideal for complex network analysis tasks.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation for advanced use cases

   Examples and tutorials are primarily focused on basic usage, lacking detailed explanations for complex scenarios

2. 02

   Performance issues with very large graphs

   Scalability tests show significant slowdowns when processing graphs with millions of nodes and edges

What it does well

• Graph neural networks for node classification and link prediction

• Supports various graph types including homogeneous, heterogeneous, and dynamic graphs

• Integration with TensorFlow and Keras for deep learning on graphs

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.