Graph Algorithms: Analytics for Understanding Data Relationships
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This document discusses Neo4j, a native graph database. It highlights Neo4j's capabilities like being ACID-compliant, supporting powerful analytics on graphs through integration with tools like Cypher and APOC, and its evolution over time to support features like user-defined procedures and functions. The document also provides examples of using algorithms like PageRank and visualization libraries like NeoVis to analyze and explore graph data in Neo4j.
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![var viz;
function draw() {
var config = {
container_id: "viz",
server_url: "bolt://localhost:7687",
server_user: "neo4j",
server_password: "sorts-swims-burglaries",
labels: {
"Character": {
"caption": "name",
"size": "pagerank",
"community": "community"
}
},
relationships: {
"INTERACTS": {
"thickness": "weight",
"caption": false
}
},
initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *"
};
viz = new NeoVis.default(config);
viz.render();
}](https://image.slidesharecdn.com/graphtour20182fdevrel2fdcalgorithmsbyryanboyd-180510165522/85/Graph-Algorithms-Analytics-for-Understanding-Data-Relationships-69-320.jpg)
![var viz;
function draw() {
var config = {
container_id: "viz",
server_url: "bolt://localhost:7687",
server_user: "neo4j",
server_password: "sorts-swims-burglaries",
labels: {
"Character": {
"caption": "name",
"size": "pagerank",
"community": "community"
}
},
relationships: {
"INTERACTS": {
"thickness": "weight",
"caption": false
}
},
initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *"
};
viz = new NeoVis.default(config);
viz.render();
}](https://image.slidesharecdn.com/graphtour20182fdevrel2fdcalgorithmsbyryanboyd-180510165522/85/Graph-Algorithms-Analytics-for-Understanding-Data-Relationships-70-320.jpg)
![var viz;
function draw() {
var config = {
container_id: "viz",
server_url: "bolt://localhost:7687",
server_user: "neo4j",
server_password: "sorts-swims-burglaries",
labels: {
"Character": {
"caption": "name",
"size": "pagerank",
"community": "community"
}
},
relationships: {
"INTERACTS": {
"thickness": "weight",
"caption": false
}
},
initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *"
};
viz = new NeoVis.default(config);
viz.render();
}](https://image.slidesharecdn.com/graphtour20182fdevrel2fdcalgorithmsbyryanboyd-180510165522/85/Graph-Algorithms-Analytics-for-Understanding-Data-Relationships-71-320.jpg)
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Graph Algorithms: Analytics for Understanding Data Relationships
- 2. 2
- 4. 4
- 7. igraph
- 8. igraph
- 15. ?
- 16. HTAP
- 19. Neo4j Native Graph Database Analytics Integrations Cypher Query Language Wide Range of APOC Procedures Optimized Graph Algorithms
- 20. 20
- 21. Finds the optimal path or evaluates route availability and quality Evaluates how a group is clustered or partitioned Determines the importance of distinct nodes in the network
- 22. 22
- 24. 24
- 25. 25
- 26. 26
- 27. 27
- 28. 28
- 29. 29
- 30. 30
- 31. 31
- 32. Native LanguageDrivers BOLT User Defined Procedure 2000-2010 0.x Embedded Java API 2010-2014 1.x REST 2014-2015 2.x Cypher over HTTP 2016 3.0.x Bolt, Official Language Drivers, User Defined Procedures 2016 3.1.x User Defined Functions 2017 3.2.x User Defined Aggregation Functions
- 33. 33
- 34. Callable Standalone and in Cypher Statements
- 36. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream() .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
- 37. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream() .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
- 38. public class FullTextIndex { @Context public GraphDatabaseService db; @Procedure( name = "example.search", mode = Procedure.Mode.READ ) public Stream<SearchHit> search( @Name("index") String index, @Name("query") String query ) { if( !db.index().existsForNodes( index )) { return Stream.empty(); } return db.index().forNodes( index ).query( query ).stream() .map( SearchHit::new ); } public static class SearchHit { public final Node node; SearchHit(Node node) { this.node = node; } } }
- 39. try ( Driver driver = GraphDatabase.driver( "bolt://localhost", Config.build().toConfig() ) ) { try ( Session session = driver.session() ) { String call = "CALL example.search('User',$query)"; Map<String,Object> params = singletonMap( "query", "name:Brook*"); StatementResult result = session.run( call, params); while ( result.hasNext() { // process results } } }
- 40. try ( Driver driver = GraphDatabase.driver( "bolt://localhost", Config.build().toConfig() ) ) { try ( Session session = driver.session() ) { String call = "CALL example.search('User',$query)"; Map<String,Object> params = singletonMap( "query", "name:Brook*"); StatementResult result = session.run( call, params); while ( result.hasNext() { // process results } } }
- 41. 41
- 42. neo4jsandbox.com
- 43. neo4jsandbox.com
- 46. 1.Call as Cypher procedure 2.Pass in specification (Label, Prop, Query) and configuration 3.~.stream variant returns (a lot) of results CALL algo.<name>.stream('Label','TYPE', {conf}) YIELD nodeId, score 4.non-stream variant writes results to graph and returns statistics CALL algo.<name>('Label','TYPE', {conf})
- 47. Pass in Cypher statement for node and relationship lists. CALL algo.<name>( 'MATCH ... RETURN id(n)', 'MATCH (n)-->(m) RETURN id(n) as source, id(m) as target', {graph:'cypher'})
- 48. 48
- 55. CALL algo.pageRank.stream('Page', 'Link', {iterations:5}) YIELD node, score WITH * ORDER BY score DESC LIMIT 5 RETURN node.title, score +--------------------------------------+ | node.title | score | +--------------------------------------+ | "United States" | 13349.2 | | "Animal" | 6077.77 | | "France" | 5025.61 | | "List of sovereign states" | 4913.92 | | "Germany" | 4662.32 | +--------------------------------------+ 5 rows 20 seconds
- 66. 66
- 67. ● Size of Nodes ● Color of Nodes ● Placement of Nodes ● Thickness of Relationships
- 69. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
- 70. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }
- 71. var viz; function draw() { var config = { container_id: "viz", server_url: "bolt://localhost:7687", server_user: "neo4j", server_password: "sorts-swims-burglaries", labels: { "Character": { "caption": "name", "size": "pagerank", "community": "community" } }, relationships: { "INTERACTS": { "thickness": "weight", "caption": false } }, initial_cypher: "MATCH (n)-[r:INTERACTS]->(m) RETURN *" }; viz = new NeoVis.default(config); viz.render(); }