Add page-alias and fix remaining references to GDS sessions

Author: FlorentinD

doc/modules/ROOT/pages/graph-analytics-serverless.adoc

@@ -1,3 +1,5 @@
+:page-aliases: gds-session
+
 = Aura Graph Analytics Serverless
 
 Aura Graph Analytics Serverless is an on-demand ephemeral compute environment for running GDS workloads.
@@ -8,7 +10,7 @@ A GDS Session reads data from a Neo4j DBMS through a _remote projection_, runs c
 
 NOTE: Graph Analytics Serverless is not available by default. See the Aura https://neo4j.com/docs/aura/graph-analytics/#aura-gds-serverless[docs] for details on how to enable it.
 
-TIP: For ready-to-run notebooks, see our tutorials on GDS Sessions for xref:tutorials/graph-analytics-serveless.adoc[AuraDB] and xref:tutorials/graph-analytics-serveless-self-managed[self-managed databases].
+TIP: For ready-to-run notebooks, see our tutorials on GDS Sessions for xref:tutorials/graph-analytics-serverless.adoc[AuraDB] and xref:tutorials/graph-analytics-serverless-self-managed[self-managed databases].
 
 
 == GDS Session management

doc/modules/ROOT/pages/tutorials/graph-analytics-serveless.adoc

@@ -3,12 +3,12 @@
 = Graph Analytics Serverless for Self-Managed Neo4j DB
 
 
-https://colab.research.google.com/github/neo4j/graph-data-science-client/blob/main/examples/gds-sessions-self-managed.ipynb[image:https://colab.research.google.com/assets/colab-badge.svg[Open
+https://colab.research.google.com/github/neo4j/graph-data-science-client/blob/main/examples/graph-analytics-serverless-self-managed.ipynb[image:https://colab.research.google.com/assets/colab-badge.svg[Open
 In Colab]]
 
 
 This Jupyter notebook is hosted
-https://github.com/neo4j/graph-data-science-client/blob/main/examples/graph-analytics-serveless-self-managed.ipynb[here]
+https://github.com/neo4j/graph-data-science-client/blob/main/examples/graph-analytics-serverless-self-managed.ipynb[here]
 in the Neo4j Graph Data Science Client Github repository.
 
 The notebook shows how to use the `graphdatascience` Python library to
@@ -20,14 +20,15 @@ Session, run algorithms, and eventually write back your analytical
 results to your Neo4j database. We will cover all management operations:
 creation, listing, and deletion.
 
-If you are using AuraDB, follow link:../graph-analytics-serveless[this
+If you are using AuraDB, follow link:../graph-analytics-serverless[this
 example].
 
 == Prerequisites
 
 This notebook requires having a Neo4j instance instance available and
-that the GDS sessions feature is enabled for your Neo4j Aura project.
-Contact your account manager to get the features enabled.
+that the Graph Analytics Serverless
+https://neo4j.com/docs/aura/graph-analytics/#aura-gds-serverless[feature]
+is enabled for your Neo4j Aura project.
 
 We also need to have the `graphdatascience` Python library installed,
 version `1.15` or later.