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Popular pages
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StellarGraph Machine Learning Library — StellarGraph 1.2.1 documentation
Graph-structured data represent entities as nodes (or vertices) and relationships between them as edges (or links), and can include data associated with either as attributes. For example, a graph can ...
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Welcome to StellarGraph’s documentation! — StellarGraph 1.2.1 documentation
Read the Docs v: stable Versions
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StellarGraph demos — StellarGraph 1.2.1 documentation
StellarGraph provides numerous algorithms for graph machine learning. This folder contains demos of all of them to explain how they work and how to use them as part of a TensorFlow Keras data science ...
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StellarGraph API — StellarGraph 1.3.0b documentation
early_stopping_monitor='val_loss')[source]¶ This method trains the ensemble on the data given in train_data and train_targets. If validation data are also given, then the training metrics are evaluate...
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Introduction — StellarGraph 0.8.3 documentation
StellarGraph is a Python library for machine learning on graph-structured (or equivalently, network-structured) data. Graph-structured data represent entities, e.g., people, as nodes (or equivalently,...
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StellarGraph basics — StellarGraph 1.2.1 documentation
StellarGraph has support for loading data via Pandas, NetworkX and Neo4j. This folder contains examples of the loading data into a StellarGraph object, which is the format used by the machine learnin...