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* xref:common-datasets.adoc[]
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* xref:rel-embedding-models.adoc[]
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* xref:bookmarks.adoc[]
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* xref:gds-session.adoc[]
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+ * xref:visualization.adoc[]
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* xref:tutorials/tutorials.adoc[]
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// https://docs.antora.org/antora/latest/navigation/include-lists/
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+ = Visualization
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+ To visualize your projection within a Python environment such as notebook or streamlit, we recommend using the
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+ graph visualization library `neo4j-viz` .
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+ Please see the https://neo4j.com/docs/nvl-python/preview[`neo4j-viz` documentation] for how to get started.
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+ In particular, the section related to
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+ http://neo4j.com/docs/nvl-python/preview/integration.html#neo4j-graph-data-science-gds-library[integration with `graphdatascience`]
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+ and its https://neo4j.com/docs/nvl-python/preview/tutorials/gds-nvl-example.html[example tutorial] may be of interest.
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