Use new call syntax (#11168)

see https://neo4j.com/docs/cypher-manual/current/subqueries/call-subquery

Author: FlorentinD

doc/modules/ROOT/pages/management-ops/graph-creation/graph-project-cypher-projection.adoc

@@ -400,8 +400,7 @@ To add both a relationship with its natural _and_ with its reverse orientation,
 [source, cypher, role=noplay]
 ----
 MATCH (source:Person)-[:KNOWS]->(target:Person)
-CALL {
-  WITH source, target
+CALL (source, target) {
   RETURN id(source) AS sourceId, id(target) AS targetId, 'KNOWS' AS rType
   UNION
   WITH source, target

doc/modules/ROOT/pages/management-ops/graph-update/collapse-path.adoc

@@ -108,8 +108,7 @@ The following query will project such a graph:
 [source, cypher, role=noplay graph-project-query]
 ----
 MATCH (p:Person)-[:PLAYS]->(i:Instrument)
-CALL {
-  WITH p, i
+CALL (p, i) {
   RETURN id(p) AS sourceId, id(i) AS targetId, 'PLAYS' AS rType
   UNION
   WITH p, i

doc/modules/ROOT/pages/production-deployment/composite.adoc

@@ -66,7 +66,7 @@ First we need to project a named graph on the analytical database shard.
 
 [source, cypher, role=noplay]
 ----
-CALL {
+CALL () {
   USE COMPOSITE_DB_NAME.ANALYTICS_DB
   CALL gds.graph.project('graph', 'Person', 'KNOWS')
   YIELD graphName
@@ -79,13 +79,13 @@ Using the composite database, we can now calculate the PageRank score for each P
 
 [source, cypher, role=noplay]
 ----
-CALL {
+CALL () {
   USE COMPOSITE_DB_NAME.ANALYTICS_DB
   CALL gds.pagerank.stream('graph', {})
   YIELD nodeId, score AS pageRank
   RETURN gds.util.asNode(nodeId).id AS personId, pageRank
 }
-CALL {
+CALL () {
   USE COMPOSITE_DB_NAME.OPERATIONAL_DB
   WITH personId
   MATCH (p {id: personId})
@@ -133,7 +133,7 @@ We now need to query the shards in order to drive the import process on the prox
 
 [source, cypher, role=noplay]
 ----
-CALL {
+CALL () {
   USE COMPOSITE_DB_NAME.COMPOSITE_SHARD_0_NAME
   MATCH (p:Person) OPTIONAL MATCH (p)-[:KNOWS]->(n:Person)
   RETURN p, n