Import GraphML

GraphML is used by other tools, like Gephi and CytoScape, to read graph data.

Available Procedures

The table below describes the available procedures:

Qualified Name

Type

Release

Configuration parameters

The procedure support the following config parameters:

Table 1. configuration options
param	default	description
readLabels	false	Creates node labels based on the value in the `labels` property of `node` elements
defaultRelationshipType	RELATED	The default relationship type to use if none is specified in the GraphML file
storeNodeIds	false	store the `id` property of `node` elements
batchSize	20000	The number of elements to process per transaction

Examples

This section includes examples showing how to use the import GraphML procedure.

Import simple GraphML file

The simple.graphml file contains a graph representation from the GraphML primer.

simple.graphml

<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns"
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns
     http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
  <graph id="G" edgedefault="undirected">
    <node id="n0"/>
    <node id="n1"/>
    <node id="n2"/>
    <node id="n3"/>
    <node id="n4"/>
    <node id="n5"/>
    <node id="n6"/>
    <node id="n7"/>
    <node id="n8"/>
    <node id="n9"/>
    <node id="n10"/>
    <edge source="n0" target="n2"/>
    <edge source="n1" target="n2"/>
    <edge source="n2" target="n3"/>
    <edge source="n3" target="n5"/>
    <edge source="n3" target="n4"/>
    <edge source="n4" target="n6"/>
    <edge source="n6" target="n5"/>
    <edge source="n5" target="n7"/>
    <edge source="n6" target="n8"/>
    <edge source="n8" target="n7"/>
    <edge source="n8" target="n9"/>
    <edge source="n8" target="n10"/>
  </graph>
</graphml>

The following imports a graph based on simple.graphml

CALL apoc.import.graphml("http://graphml.graphdrawing.org/primer/simple.graphml", {})

If we run this query, we’ll see the following output:

Table 2. Results
file	source	format	nodes	relationships	properties	time	rows	batchSize	batches	done	data
"http://graphml.graphdrawing.org/primer/simple.graphml"	"file"	"graphml"	11	12	0	618	0	-1	0	TRUE	NULL

We could also copy simple.graphml into Neo4j’s import directory, and import the file from there. If we take that approach, we’ll need to add the following entry to apoc.conf:

For reading from files we’ll have to enable the following config option:

apoc.conf

apoc.import.file.enabled=true

We can then run the import procedure in the following way:

The following imports a graph based on simple.graphml

CALL apoc.import.graphml("file://simple.graphml", {})

The Neo4j Browser visualization below shows the imported graph:

Figure 1. Simple Graph Visualization

Import GraphML file created by Export GraphML procedures

movies.graphml contains a subset of Neo4j’s movies graph, and was generated by the Export GraphML procedure.

movies.graphml

<?xml version="1.0" encoding="UTF-8"?>
<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://graphml.graphdrawing.org/xmlns/1.0/graphml.xsd">
<key id="born" for="node" attr.name="born"/>
<key id="name" for="node" attr.name="name"/>
<key id="tagline" for="node" attr.name="tagline"/>
<key id="label" for="node" attr.name="label"/>
<key id="title" for="node" attr.name="title"/>
<key id="released" for="node" attr.name="released"/>
<key id="roles" for="edge" attr.name="roles"/>
<key id="label" for="edge" attr.name="label"/>
<graph id="G" edgedefault="directed">
<node id="n188" labels=":Movie"><data key="labels">:Movie</data><data key="title">The Matrix</data><data key="tagline">Welcome to the Real World</data><data key="released">1999</data></node>
<node id="n189" labels=":Person"><data key="labels">:Person</data><data key="born">1964</data><data key="name">Keanu Reeves</data></node>
<node id="n190" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Carrie-Anne Moss</data></node>
<node id="n191" labels=":Person"><data key="labels">:Person</data><data key="born">1961</data><data key="name">Laurence Fishburne</data></node>
<node id="n192" labels=":Person"><data key="labels">:Person</data><data key="born">1960</data><data key="name">Hugo Weaving</data></node>
<node id="n193" labels=":Person"><data key="labels">:Person</data><data key="born">1967</data><data key="name">Lilly Wachowski</data></node>
<node id="n194" labels=":Person"><data key="labels">:Person</data><data key="born">1965</data><data key="name">Lana Wachowski</data></node>
<node id="n195" labels=":Person"><data key="labels">:Person</data><data key="born">1952</data><data key="name">Joel Silver</data></node>
<edge id="e267" source="n189" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Neo"]</data></edge>
<edge id="e268" source="n190" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Trinity"]</data></edge>
<edge id="e269" source="n191" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Morpheus"]</data></edge>
<edge id="e270" source="n192" target="n188" label="ACTED_IN"><data key="label">ACTED_IN</data><data key="roles">["Agent Smith"]</data></edge>
<edge id="e271" source="n193" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e272" source="n194" target="n188" label="DIRECTED"><data key="label">DIRECTED</data></edge>
<edge id="e273" source="n195" target="n188" label="PRODUCED"><data key="label">PRODUCED</data></edge>
</graph>
</graphml>

The following imports a graph based on movies.graphml

CALL apoc.import.graphml("movies.graphml", {})

If we run this query, we’ll see the following output:

Table 3. Results
file	source	format	nodes	relationships	properties	time	rows	batchSize	batches	done	data
"movies.graphml"	"file"	"graphml"	8	7	36	23	0	-1	0	TRUE	NULL

We can run the following query to see the imported graph:

MATCH p=()-->()
RETURN p

Table 4. Results
p
({name: "Laurence Fishburne", born: "1961", labels: ":Person"})-[:ACTED_IN {roles: "[\"Morpheus\"]", label: "ACTED_IN"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", labels: ":Movie"})
({name: "Carrie-Anne Moss", born: "1967", labels: ":Person"})-[:ACTED_IN {roles: "[\"Trinity\"]", label: "ACTED_IN"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", la bels: ":Movie"})
({name: "Lana Wachowski", born: "1965", labels: ":Person"})-[:DIRECTED {label: "DIRECTED"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", labels: ":Movie"})
({name: "Joel Silver", born: "1952", labels: ":Person"})-[:PRODUCED {label: "PRODUCED"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", labels: ":Movie"})
({name: "Lilly Wachowski", born: "1967", labels: ":Person"})-[:DIRECTED {label: "DIRECTED"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", labels: ":Movie"})
({name: "Keanu Reeves", born: "1964", labels: ":Person"})-[:ACTED_IN {roles: "[\"Neo\"]", label: "ACTED_IN"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", labels: ": Movie"})
({name: "Hugo Weaving", born: "1960", labels: ":Person"})-[:ACTED_IN {roles: "[\"Agent Smith\"]", label: "ACTED_IN"}]→({tagline: "Welcome to the Real World", title: "The Matrix", released: "1999", la bels: ":Movie"})

The labels defined in the GraphML file have been added to the labels property on each node, rather than being added as a node label. We can set the config property readLabels: true to import native labels:

The following imports a graph based on movies.graphml and stores node labels

CALL apoc.import.graphml("movies.graphml", {readLabels: true})

Table 5. Results
file	source	format	nodes	relationships	properties	time	rows	batchSize	batches	done	data
"movies.graphml"	"file"	"graphml"	8	7	21	23	0	-1	0	TRUE	NULL

And now let’s re-run the query to see the imported graph:

MATCH p=()-->()
RETURN;

Table 6. Results
p
(:Person {name: "Lilly Wachowski", born: "1967"})-[:DIRECTED]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})
(:Person {name: "Carrie-Anne Moss", born: "1967"})-[:ACTED_IN {roles: "[\"Trinity\"]"}]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})
(:Person {name: "Hugo Weaving", born: "1960"})-[:ACTED_IN {roles: "[\"Agent Smith\"]"}]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})
(:Person {name: "Laurence Fishburne", born: "1961"})-[:ACTED_IN {roles: "[\"Morpheus\"]"}]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})
(:Person {name: "Keanu Reeves", born: "1964"})-[:ACTED_IN {roles: "[\"Neo\"]"}]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})
(:Person {name: "Joel Silver", born: "1952"})-[:PRODUCED]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})
(:Person {name: "Lana Wachowski", born: "1965"})-[:DIRECTED]→(:Movie {tagline: "Welcome to the Real World", title: "The Matrix", released: "1999"})