fix xrefs

Author: recrwplay

doc/modules/ROOT/pages/graph-object.adoc

@@ -86,7 +86,7 @@ Cypher projection is not a dedicated procedure; rather it requires writing a Cyp
 
 Read more about Cypher projection in the https://neo4j.com/docs/graph-data-science/current/management-ops/projections/graph-project-cypher-projection/[GDS manual].
 
-The method `gds.graph.cypher.project` bridges the gap between <<getting-started-minimal-example, `gds.run_cypher`>> and having to follow with `gds.graph.get`.
+The method `gds.graph.cypher.project` bridges the gap between xref:getting-started.adoc#getting-started-minimal-example[`gds.run_cypher`] and having to follow with `gds.graph.get`.
 
 === Syntax
 .Cypher projection signature

doc/modules/ROOT/pages/tutorials/heterogeneous-node-classification-with-hashgnn.adoc

@@ -285,8 +285,8 @@ found was logistic regression with `penalty=0.159748`.
 
 Further we note that the test set F1 score is 0.59118347, which is
 really good to when comparing to scores of other algorithms on this
-dataset in the literature. More on this in the
-link:#Conclusion[Conclusion] section below.
+dataset in the literature.
+For more information, see <<conclusion>>.
 
 == Making new predictions
 
@@ -328,6 +328,7 @@ _ = pipe.drop()
 _ = model.drop()
 ----
 
+[[conclusion]]
 == Conclusion
 
 By using only the GDS library and its client, we were able to train a