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Fix typos (#1320)
* CommittedTransactions * Update pages/data-modeling/graph-data-model.mdx --------- Co-authored-by: Matea Pesic <80577904+matea16@users.noreply.github.com>
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pages/advanced-algorithms/available-algorithms/collections.mdx

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@@ -192,7 +192,7 @@ in the input list.
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### `contains()`
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Verifies the existance of an input value in an input list.
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Verifies the existence of an input value in an input list.
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{<h4 className="custom-header"> Input: </h4>}
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{<h4 className="custom-header"> Usage: </h4>}
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Use the following query to find the element of the minimu value in the list:
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Use the following query to find the element of the minimum value in the list:
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```cypher
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RETURN collections.min([1,2,3]) AS min;
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{<h4 className="custom-header"> Output: </h4>}
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- `splitted: List[Any]` ➡ Sublists of the original list.
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- `split: List[Any]` ➡ Sublists of the original list.
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{<h4 className="custom-header"> Usage: </h4>}
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Use the following query to split the list using a 0 as a delimiter:
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```cypher
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CALL collections.split([2, 4, "0", 0, 3.3, 9, 0, 5], 0)
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YIELD splitted
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RETURN splitted;
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YIELD split
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RETURN split;
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```
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```plaintext
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+----------------------------+
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| splitted |
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| split |
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+----------------------------+
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| [2, 4, "0"] |
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+----------------------------+

pages/advanced-algorithms/available-algorithms/community_detection_online.mdx

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@@ -204,7 +204,7 @@ If subgraph is not specified, the algorithm is computed on the entire graph by d
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{<h4 className="custom-header"> Usage: </h4>}
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Use the following query, to reset the algorithm to its inital state:
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Use the following query, to reset the algorithm to its initial state:
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```cypher
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CALL community_detection_online.reset()

pages/advanced-algorithms/available-algorithms/create.mdx

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@@ -480,7 +480,7 @@ If subgraph is not specified, the algorithm is computed on the entire graph by d
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{<h4 className="custom-header"> Usage: </h4>}
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Use the following query to add the `reall` and `until` properties to a
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Use the following query to add the `really` and `until` properties to a
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relationship:
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```cypher

pages/advanced-algorithms/available-algorithms/gnn_link_prediction.mdx

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@@ -276,7 +276,7 @@ If subgraph is not specified, the algorithm is computed on the entire graph by d
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{<h4 className="custom-header"> Usage: </h4>}
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To get a prediction about an existance of a relationship, use the following query:
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To get a prediction about an existence of a relationship, use the following query:
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```
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MATCH (v1:PAPER {id: "ID_1"})

pages/advanced-algorithms/available-algorithms/json_util.mdx

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@@ -46,7 +46,7 @@ If subgraph is not specified, the algorithm is computed on the entire graph by d
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{<h4 className="custom-header"> Usage: </h4>}
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Use the folowing query to load data from a local JSON file:
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Use the following query to load data from a local JSON file:
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```cypher
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CALL json_util.load_from_path(path)

pages/advanced-algorithms/available-algorithms/node.mdx

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@@ -99,7 +99,7 @@ The procedure checks if the given node has a relationship of a specific type.
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- `subgraph: Graph` (**OPTIONAL**) ➡ A specific subgraph, which is an [object of type Graph](/advanced-algorithms/run-algorithms#run-procedures-on-subgraph) returned by the `project()` function, on which the algorithm is run.
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If subgraph is not specified, the algorithm is computed on the entire graph by default.
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- `node: Node` ➡ The target node for which the existance of a relationship type is verified.
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- `node: Node` ➡ The target node for which the existence of a relationship type is verified.
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- `pattern: List[string] (optional)` ➡ A list of relationship types that need to be checked. If the input parameter is empty, procedure will check all types of relationships.
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If &lt; is added in front of the relationship type, only relationships coming
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MATCH (a:Person {name: "Joey"})
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```
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To check the existance of a relationship type `FRIENDS` coming to the node `a`,
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To check the existence of a relationship type `FRIENDS` coming to the node `a`,
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run the following query:
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```
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- `subgraph: Graph` (**OPTIONAL**) ➡ A specific subgraph, which is an [object of type Graph](/advanced-algorithms/run-algorithms#run-procedures-on-subgraph) returned by the `project()` function, on which the algorithm is run.
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If subgraph is not specified, the algorithm is computed on the entire graph by default.
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- `node: Node` ➡ The target node for which the existance of relationship types is verified.
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- `node: Node` ➡ The target node for which the existence of relationship types is verified.
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- `relationships: List[string]` ➡ A list of relationship types that need to be
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checked. If the input parameter is empty, procedure will check all types of
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relationships.
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CREATE (d:Dog)-[l:LOVES]->(h:Human)-[t:TAKES_CARE_OF]->(d);
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```
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To check the existance of various relationship types related to node `d`,
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To check the existence of various relationship types related to node `d`,
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run the following query:
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```cypher
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+----------------------------------------------------------------------------+
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```
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To check the existance of various relationship types related to node `h`,
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To check the existence of various relationship types related to node `h`,
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run the following query:
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```cypher

pages/advanced-algorithms/available-algorithms/node2vec.mdx

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@@ -23,7 +23,7 @@ The **node2vec** algorithm was inspired by a similar **NLP** technique. The same
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way as a document is an ordered sequence of words, by sampling sequences of
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nodes from the underlying network and turning a network into an ordered sequence
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of nodes. Although the idea of sampling is easy, choosing the actual strategy
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can be challenging and dependant on the techniques that will be applied
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can be challenging and dependent on the techniques that will be applied
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afterward.
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Capturing information in networks often shuttles between two kinds of

pages/advanced-algorithms/available-algorithms/nxalg.mdx

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{<h4 className="custom-header"> Usage: </h4>}
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To get a cylce, run the following query:
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To get a cycle, run the following query:
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```cypher
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MATCH (n:Node)

pages/advanced-algorithms/available-algorithms/path.mdx

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{<h4 className="custom-header"> Usage: </h4>}
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Use the following query to create a path from the given startin node and a list of relationships:
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Use the following query to create a path from the given starting node and a list of relationships:
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```cypher
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MERGE (croatia:Country {name: 'Croatia'})
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hops is increased to 4.
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- `Label list: [">Dog", "+Human", "+Wolf"]` - Now, only paths ending with `Dog`
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will be returned, but they can be further expaned through the nodes with
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will be returned, but they can be further expanded through the nodes with
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whitelisted labels. This filtering returns 3 paths: `Cat<-Dog`,
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`Cat<-Dog<-Human->Wolf->Dog`, `Cat<-Dog<-Wolf<-Human->Dog`.
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- `Label list: [">Dog", "+Human", "+Wolf"]` - Now, only paths ending with `Dog`
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will be returned, but they can be further expaned through the nodes with
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will be returned, but they can be further expanded through the nodes with
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whitelisted labels. This filtering returns 3 paths: `Cat<-Dog`,
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`Cat<-Dog<-Human->Wolf->Dog`, `Cat<-Dog<-Wolf<-Human->Dog`.
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- `Label list: [">Dog", "+Human", "+Wolf"]` - Now, only paths ending with `Dog`
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will be returned, but they can be further expaned through the nodes with
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will be returned, but they can be further expanded through the nodes with
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whitelisted labels. This filtering returns 3 paths: `Cat<-Dog`,
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`Cat<-Dog<-Human->Wolf->Dog`, `Cat<-Dog<-Wolf<-Human->Dog`.
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pages/advanced-algorithms/available-algorithms/tgn.mdx

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@@ -34,7 +34,7 @@ In their work, Rossi et al. introduce [Temporal graph
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networks](https://arxiv.org/abs/2006.10637), an architecture for machine
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learning on streamed graphs, a rapidly-growing ML use case.
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The module consists ofthe following features as introduced by [Rossi et
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The module consists of the following features as introduced by [Rossi et
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al.](https://emanuelerossi.co.uk/):
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- **Link prediction** - Train your **TGN** to predict new **links/edges** and

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