@@ -33,52 +33,55 @@ These all assume that an object of :class:`.GraphDataScience` is available as `g
3333.. deprecated :: 2.5.0
3434 Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.nodeLabel.write ` instead.
3535
36- .. deprecated :: 2.5.0
37- Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.export.csv ` instead.
38-
3936.. py :function :: gds.beta.graph.export.csv(G: Graph, ** config: Any) -> Series[Any]
4037
4138 Exports a named graph to CSV files.
4239
4340.. deprecated :: 2.5.0
44- Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.export.csv.estimate ` instead.
41+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.export.csv ` instead.
4542
46- .. py :function :: gds.beta.graph.export.csv.estimate(G: Graph, ** config: Any) -> " Series[Any]
43+ .. py :function :: gds.beta.graph.export.csv.estimate(G: Graph, ** config: Any) -> Series[Any]
4744
4845 Estimate the required disk space for exporting a named graph to CSV files.
4946
47+ .. deprecated :: 2.5.0
48+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.export.csv.estimate ` instead.
49+
5050.. py :function :: gds.beta.graph.generate(graph_name: str , node_count: int , average_degree: int , ** config: Any) -> GraphCreateResult
5151
5252 Computes a random graph, which will be stored in the graph catalog.
5353
5454.. deprecated :: 2.5.0
55- Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.filter ` instead.
55+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.generate ` instead.
5656
57- .. py :function :: gds.beta.graph.project.subgraph(graph_name: str ,from_G: Graph,node_filter: str ,relationship_filter: str ,** config: Any,) -> GraphCreateResult
57+ .. py :function :: gds.beta.graph.project.subgraph(graph_name: str , from_G: Graph, node_filter: str , relationship_filter: str , ** config: Any,) -> GraphCreateResult
5858
59- Creates a named graph in the catalog for use by algorithms.
59+ Filters down a graph projection to a named subgraph projection in the catalog for use by algorithms.
6060
6161.. deprecated :: 2.5.0
62- Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.relationships.stream ` instead.
62+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.filter ` instead.
6363
6464.. py :function :: gds.beta.graph.relationships.stream(G: Graph, relationship_types: List[str ] = [" *" ], ** config: Any) -> TopologyDataFrame
6565
6666 Streams the given relationship source/target pairs
6767
6868.. deprecated :: 2.5.0
69- Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.relationships.toUndirected ` instead.
69+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.relationships.stream ` instead.
7070
7171.. py :function :: gds.beta.graph.relationships.toUndirected(G: Graph, query: str , relationship_type: str , mutate_relationship_type: str , ** config: Any) -> Series[Any]
7272
7373 The ToUndirected procedure converts directed relationships to undirected relationships
7474
7575.. deprecated :: 2.5.0
76- Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.relationships.toUndirected.estimate ` instead.
76+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.relationships.toUndirected ` instead.
7777
7878.. py :function :: gds.beta.graph.relationships.toUndirected.estimate(G: Graph, relationship_type: str , mutate_relationship_type: str , ** config: Any) -> Series[Any]
7979
8080 Returns an estimation of the memory consumption for that procedure.
8181
82+ .. deprecated :: 2.5.0
83+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.relationships.toUndirected.estimate ` instead.
84+
8285.. py :function :: gds.graph.cypher.project(query: str , database: Optional[str ], ** params: Any) -> GraphCreateResult
8386
8487 Use Cypher projection to creates a named graph in the catalog for use by algorithms.
@@ -104,7 +107,7 @@ These all assume that an object of :class:`.GraphDataScience` is available as `g
104107
105108 Exports a named graph to CSV files.
106109
107- .. py :function :: gds.graph.export.csv.estimate(G: Graph, ** config: Any) -> " Series[Any]
110+ .. py :function :: gds.graph.export.csv.estimate(G: Graph, ** config: Any) -> Series[Any]
108111
109112 Estimate the required disk space for exporting a named graph to CSV files.
110113
@@ -156,9 +159,12 @@ These all assume that an object of :class:`.GraphDataScience` is available as `g
156159
157160 Returns an estimation of the memory consumption for that procedure.
158161
159- .. py :function :: gds.graph.project.subgraph(graph_name: str ,from_G: Graph,node_filter: str ,relationship_filter: str ,** config: Any,) -> GraphCreateResult
162+ .. py :function :: gds.graph.project.subgraph(graph_name: str , from_G: Graph, node_filter: str , relationship_filter: str , ** config: Any,) -> GraphCreateResult
160163
161- Creates a named graph in the catalog for use by algorithms.
164+ Filters down a graph projection to a named subgraph projection in the catalog for use by algorithms.
165+
166+ .. deprecated :: 2.5.0
167+ Since GDS server version 2.5.0 you should use the endpoint :func: `gds.graph.filter ` instead.
162168
163169.. py :function :: gds.graph.relationships.stream(G: Graph, relationship_types: List[str ] = [" *" ], ** config: Any) -> TopologyDataFrame
164170
@@ -257,3 +263,7 @@ These all assume that an object of :class:`.GraphDataScience` is available as `g
257263
258264.. py :function :: gds.graph.nodeLabel.write(G: Graph, node_label: str , ** config: Any) -> Series[Any]
259265 Writes the given node Label to an online Neo4j database.
266+
267+ .. py :function :: gds.graph.filter(graph_name: str , from_G: Graph, node_filter: str , relationship_filter: str , ** config: Any,) -> GraphCreateResult
268+
269+ Filters down a graph projection to a named subgraph projection in the catalog for use by algorithms.
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