Format notebooks using pandoc 3.3.1

brew updated to 3.5 (and only has one version)

Author: FlorentinD

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

@@ -347,7 +347,7 @@ part with something like a
 https://neo4j.com/docs/graph-data-science-client/current/graph-object/#_projecting_a_graph_object[projection
 from a Neo4j database] to create a more realistic production workflow.
 
-=== Comparison with other methods
+== Comparison with other methods
 
 As mentioned we tried to mimic the setup of the benchmarks in the
 NeurIPS paper
@@ -382,7 +382,7 @@ descent compared to the deep learning models above - HashGNN is an
 unsupervised algorithm - HashGNN runs a lot faster (even without a GPU)
 and requires a lot less memory
 
-=== Further learning
+== Further learning
 
 To learn more about the topics covered in this notebook, please check
 out the following pages of the GDS manual: