需要在Neo4j安装目录中的plugins目录下，放置neo4j-graph-data-science.jar包，这个包可以进行图计算（注意版本，最好使用Neo4j-4-X）。
创建数据：
CREATE
(a:Loc {name: 'A'}),
(b:Loc {name: 'B'}),
(c:Loc {name: 'C'}),
(d:Loc {name: 'D'}),
(e:Loc {name: 'E'}),
(f:Loc {name: 'F'}),
(a)-[:ROAD {cost: 50}]->(b),
(a)-[:ROAD {cost: 50}]->(c),
(a)-[:ROAD {cost: 100}]->(d),
(b)-[:ROAD {cost: 40}]->(d),
(c)-[:ROAD {cost: 40}]->(d),
(c)-[:ROAD {cost: 80}]->(e),
(d)-[:ROAD {cost: 30}]->(e),
(d)-[:ROAD {cost: 80}]->(f),
(e)-[:ROAD {cost: 40}]->(f);
查找最短路径（不带权重）：
MATCH p=shortestPath((start:Loc {name: 'A'})-[:ROAD*]->(end:Loc {name: 'F'}))
RETURN p
查找最短路径（带权重）：
MATCH (start:Loc {name: 'A'}), (end:Loc {name: 'F'})
CALL gds.alpha.shortestPath.stream({
nodeProjection: 'Loc',
relationshipProjection: {
ROAD: {
type: 'ROAD',
properties: 'cost',
orientation: 'UNDIRECTED'
}
},
startNode: start,
endNode: end,
relationshipWeightProperty: 'cost'
})
YIELD nodeId, cost
RETURN gds.util.asNode(nodeId).name AS name, cost
