StellarGraph basics

StellarGraph has support for loading data via Pandas and NetworkX. This folder contains examples of the loading data into a StellarGraph object, which is the format used by the machine learning algorithms in this library.

Find demos for a format

• loading-pandas shows the recommended way to load data, using Pandas (supporting any input format that Pandas supports, including CSV files and SQL databases)
• loading-networkx shows how to load data from a NetworkX graph
• loading-saving-neo4j shows how to load data from a Neo4j database, and save results back to it

See all demos for machine learning algorithms.

Table of contents

• Loading data into StellarGraph from NetworkX
• Loading data into StellarGraph from Pandas
• Loading and saving data between StellarGraph and Neo4j