From 72f6bc1bca15e12652a7563fd4363b261a81f964 Mon Sep 17 00:00:00 2001 From: Adam Cowley Date: Fri, 14 Jun 2024 11:24:18 +0100 Subject: [PATCH] add promo include to index.adoc --- doc/modules/ROOT/pages/index.adoc | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/doc/modules/ROOT/pages/index.adoc b/doc/modules/ROOT/pages/index.adoc index 4f9cce6c48..7513e9c33f 100644 --- a/doc/modules/ROOT/pages/index.adoc +++ b/doc/modules/ROOT/pages/index.adoc @@ -27,7 +27,7 @@ The manual covers the following areas: * xref:installation/index.adoc[Installation] -- Instructions for how to install and use the Neo4j Graph Data Science library. * xref:common-usage/index.adoc[Common usage] -- General usage patterns and recommendations for getting the most out of the Neo4j Graph Data Science library. * xref:management-ops/index.adoc[Graph management] -- A detailed guide to the graph catalog and utility procedures included in the Neo4j Graph Data Science library. -* xref:algorithms/index.adoc[Graph algorithms] -- A detailed guide to each of the algorithms in their respective categories, including use-cases and examples. +* xref:algorithms/index.adoc[Graph algorithms] -- A detailed guide to each algorithm in their respective categories, including use-cases and examples. * xref:machine-learning/machine-learning.adoc[Machine learning] -- A detailed guide to the machine learning procedures included in the Neo4j Graph Data Science library. * xref:production-deployment/index.adoc[Production deployment] -- This chapter explains advanced details with regards to common Neo4j components. * xref:python-client/index.adoc[Python client] -- Documentation of the Graph Data Science client for Python users. @@ -36,7 +36,9 @@ The manual covers the following areas: * xref:migration-lcp-to-cpv2/index.adoc[Migration from Legacy to new Cypher projections] -- Migration guide to help migration from the Legacy Cypher projections to the new Cypher projections. The source code of the library is available at https://github.com/neo4j/graph-data-science[GitHub]. -If you have a suggestion on how we can improve the library or want to report a problem, you can create a https://github.com/neo4j/graph-data-science/issues/new[new issue]. +If you have suggestions for improving the library or want to report a problem, you can create a https://github.com/neo4j/graph-data-science/issues/new[new issue]. + +include::{ga-promos-uri}/{ga-promo}.adoc[] // ifdef::backend-html5[]