Neo4j图形模型不训练

Question

我最近开始尝试Neo4j的Graphsage算法。

我在此页上学习了这个例子

CREATE
  // Persons
  (  dan:Person {name: 'Dan',   age: 20, heightAndWeight: [185, 75]}),
  (annie:Person {name: 'Annie', age: 12, heightAndWeight: [124, 42]}),
  ( matt:Person {name: 'Matt',  age: 67, heightAndWeight: [170, 80]}),
  ( jeff:Person {name: 'Jeff',  age: 45, heightAndWeight: [192, 85]}),
  ( brie:Person {name: 'Brie',  age: 27, heightAndWeight: [176, 57]}),
  ( elsa:Person {name: 'Elsa',  age: 32, heightAndWeight: [158, 55]}),
  ( john:Person {name: 'John',  age: 35, heightAndWeight: [172, 76]}),

  (dan)-[:KNOWS {relWeight: 1.0}]->(annie),
  (dan)-[:KNOWS {relWeight: 1.6}]->(matt),
  (annie)-[:KNOWS {relWeight: 0.1}]->(matt),
  (annie)-[:KNOWS {relWeight: 3.0}]->(jeff),
  (annie)-[:KNOWS {relWeight: 1.2}]->(brie),
  (matt)-[:KNOWS {relWeight: 10.0}]->(brie),
  (brie)-[:KNOWS {relWeight: 1.0}]->(elsa),
  (brie)-[:KNOWS {relWeight: 2.2}]->(jeff),
  (john)-[:KNOWS {relWeight: 5.0}]->(jeff)

在创建图形之后，我运行了以下Cypher查询

CALL gds.beta.graphSage.train(
  'persons',
  {
    modelName: 'exampleTrainModel',
    featureProperties: ['age', 'heightAndWeight'],
    aggregator: 'mean',
    activationFunction: 'sigmoid',
    sampleSizes: [25, 10]
  }
) YIELD modelInfo as info
RETURN
  info.name as modelName,
  info.metrics.didConverge as didConverge,
  info.metrics.ranEpochs as ranEpochs,
  info.metrics.epochLosses as epochLosses

但是，didConverge, ranEpochs, epochLosses返回null值。模型本身为所有节点返回相同的嵌入。这不应该是这样的，因为它是一个工作的例子在网站上，但我找不到问题，导致这种情况发生。

目前，我在Neo4j桌面上使用Neo4j 4.2.5。

Answer 1

它可能对你没有帮助，但它可以帮助其他人登陆这一网页。没有更新文件。您可以通过删除YIELD和RETURN语句来获取所有指标。下面的代码将打印所有可用的指标。

CALL gds.beta.graphSage.train(
  'persons',
  {
    modelName: 'exampleTrainModel',
    featureProperties: ['age', 'heightAndWeight'],
    aggregator: 'mean',
    activationFunction: 'sigmoid',
    sampleSizes: [25, 10]
  }
)