我想从Neo4j图数据库中提取子图。输入将是两个节点。我们需要从两个节点中找到所有一跳邻居并形成节点的并集(让它称之为闭包)。现在我们必须获得此闭包中的所有关系(包括输入节点的节点的并集)。如何使用java"有效地解决neo4j中的这个问题"。请建议。
答案 0 :(得分:2)
这样的东西?
// find closure
Set<Node> nodes = new HashSet<>();
for (Node n : inputs) {
for (Relationship rel : n.getRelationships()) {
nodes.add(r.getOtherNode(n));
}
}
nodes.addAll(inputs);
// find rels withing closure
Set<Relationship> rels = new HashSet<>();
for (Node n : nodes) {
for (Relationship rel : n.getRelationships()) {
if (nodes.contains(r.getOtherNode(n))) rels.add(rel);
}
}
return rels;
答案 1 :(得分:0)
在关闭内部时,需要花费大量时间。我提供了2个节点作为输入,其中大小为2300.对于此输入,大约需要2分钟来获取数据。但我们需要在几秒钟内获得数据 Neo4j中的总节点数:20000个节点。 在Neo4j中的总重量:360000边缘 以下是用于获取数据的代码。
public void getSemanticContext() {
List<Node> inputs = new ArrayList<>();
List<Integer> qterms1 = new ArrayList<>();
Set<Node> nodes = new HashSet<>();
Set<Integer> closure = new HashSet<>();
rdbms.createConnection();
RandomWalk_RDBMS rwalk = new RandomWalk_RDBMS(rdbms, operation);
Map<Integer, Double> sortedTerms=null;
Transaction tx = graphDb.beginTx();
try
{
ResourceIterator<Node> id1 = graphDb.findNodesByLabelAndProperty( DynamicLabel.label("concept"), "name", "copy" ).iterator();
ResourceIterator<Node> id2 = graphDb.findNodesByLabelAndProperty( DynamicLabel.label( "concept"), "name", "main" ).iterator();
if ( id1.hasNext() )
{
firstNode = id1.next();
}
if ( id2.hasNext() )
{
secondNode = id2.next();
}
System.out.println(firstNode.getProperty("id"));
System.out.println(firstNode.getProperty("name"));
// find closure
qterms1.add(Integer.parseInt(firstNode.getProperty("id").toString()));
qterms1.add(Integer.parseInt(secondNode.getProperty("id").toString()));
inputs.add(firstNode);
inputs.add(secondNode);
closure.add(Integer.parseInt(firstNode.getProperty("id").toString()));
closure.add(Integer.parseInt(secondNode.getProperty("id").toString()));
for (Node n : inputs)
{
for (Relationship rel : n.getRelationships()) {
nodes.add(rel.getOtherNode(n));
closure.add(Integer.parseInt(rel.getOtherNode(n).getProperty("id").toString()));
}
}
nodes.addAll(inputs);
System.out.println("closure generated");
System.out.println(nodes);
genScoreMap= new HashMap<>();
// find rels withing closure
Set<Relationship> rels = new HashSet<>();
for (Node n : nodes) {
HashMap<Integer, Double> innerMap = new HashMap<Integer, Double>();
for (Relationship rel : n.getRelationships()) {
if (nodes.contains(rel.getOtherNode(n)))
{
rels.add(rel);
innerMap.put(Integer.parseInt(rel.getOtherNode(n).getProperty("id").toString()), Double.parseDouble(rel.getProperty("generatability_score").toString()));
}
genScoreMap.put(Integer.parseInt(n.getProperty("id").toString()), innerMap);
}
}
}
catch(Exception e)
{
e.printStackTrace();
}
tx.close();
// System.out.println(genScoreMap);
System.out.println("semantic context generated");
sortedTerms=rwalk.randomWalk(qterms1,genScoreMap,closure);
printResult(sortedTerms,rwalk);
}