blocks|key|716071|text|与FastRP或Node2Vec相比，FastRP和Node2Vec花很长的时间是正常的。从GDS+1.7开始，您可以使用|type|unstyled|depth|inlineStyleRanges|entityRanges|data|716072|CALL+gds.beta.listProgress(jobId:+String)
YIELD
++jobId,
++taskName,
++progress,
++progressBar,
++status,
++timeStarted,
++elapsedTime|code-block|syntax|javascript|716073|如果您调用而不传入jobId，它将返回所有正在运行的作业的列表。如果使用jobId调用，它将给出有关正在运行的作业的详细信息。|716074|此查询将总结作业03d90ed8-feba-4959-8cd2-cbd691d1da6c的详细信息。|offset|length|style|CODE|716075|CALL+gds.beta.listProgress("03d90ed8-feba-4959-8cd2-cbd691d1da6c")+
YIELD+taskName,+status+
RETURN+taskName,+status,+count(*)|716076|这是进度日志记录文档。系统监测过程也可能对您有所帮助。|716077|entityMap|0|LINK|mutability|MUTABLE|url|https://neo4j.com/docs/graph-data-science/1.8/common-usage/logging/|1|https://neo4j.com/docs/graph-data-science/1.8/common-usage/monitoring-system/^0|0|0|0|8|10|0|0|2|8|0|B|4|1|0^^$0|@$1|2|3|4|5|6|7|12|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|13|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|14|8|@]|9|@]|A|$]]|$1|I|3|J|5|6|7|15|8|@$K|16|L|17|M|N]]|9|@]|A|$]]|$1|O|3|P|5|D|7|18|8|@]|9|@]|A|$E|F]]|$1|Q|3|R|5|6|7|19|8|@]|9|@$K|1A|L|1B|1|1C]|$K|1D|L|1E|1|1F]]|A|$]]|$1|S|3|-4|5|6|7|1G|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z]]|10|$5|V|W|X|A|$Y|11]]]]

It is normal for GraphSAGE to take a long time compared to FastRP or Node2Vec. Starting in GDS 1.7, you can use
<pre><code>CALL gds.beta.listProgress(jobId: String)
YIELD
 jobId,
 taskName,
 progress,
 progressBar,
 status,
 timeStarted,
 elapsedTime
</code></pre>
If you call without passing in a jobId, it will return a list of all running jobs. If you call with a jobId, it will give you details about a running job.
This query will summarize the details for job <code>03d90ed8-feba-4959-8cd2-cbd691d1da6c</code>.
<pre><code>CALL gds.beta.listProgress(&quot;03d90ed8-feba-4959-8cd2-cbd691d1da6c&quot;) 
YIELD taskName, status 
RETURN taskName, status, count(*)
</code></pre>
Here's the <a href="https://neo4j.com/docs/graph-data-science/1.8/common-usage/logging/" rel="nofollow noreferrer">documentation for progress logging</a>. The <a href="https://neo4j.com/docs/graph-data-science/1.8/common-usage/monitoring-system/" rel="nofollow noreferrer">system monitoring</a> procedures might also be helpful to you.

I am working on extracting graph embeddings with training GraphSage algorihm. I am working on a large graph consisting of (82,339,589) nodes and (219,521,164) edges. When I checked with &quot;:queries&quot; command the query is listed as running. Algorithm started in 6 days ago. When I look the logs with &quot;docker logs xxx&quot; the last logs listed as
<blockquote>
2021-12-01 12:03:16.267+0000 INFO Relationship Store Scan (RelationshipScanCursorBasedScanner): Imported 352,492,468 records and 0 properties from 16247 MiB (17,036,668,320 bytes); took 59.057 s, 5,968,663.57 Relationships/s, 275 MiB/s (288,477,487 bytes/s) (per thread: 1,492,165.89 Relationships/s, 68 MiB/s (72,119,371 bytes/s))
</blockquote>
<blockquote>
2021-12-01 12:03:16.269+0000 INFO [neo4j.BoltWorker-3 [bolt] [/10.0.0.6:56143] ] LOADING
INFO [neo4j.BoltWorker-3 [bolt] [/10.0.0.6:56143] ] LOADING Actual
memory usage of the loaded graph: 8602 MiB
INFO [neo4j.BoltWorker-3 [bolt] [/10.0.0.6:64076] ] GraphSageTrain ::
Start
</blockquote>
There is a way to see detailed logs about training process. Is it normal for taking 6 days for graphs with shared sizes ?

Neo4j GraphSage training does not log anything

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我正在用训练GraphSage算法来提取图形嵌入。我正在处理一个由(82,339,589)个节点和(219,521,164)边组成的大图。当我使用“：query”命令检查时，查询被列为正在运行。算法从6天前开始。当我查看带有“”的日志时，最后列出的日志如下2021-12-01 12:03:16.267+0000信息存储...

问Neo4j GraphSage培训不记录任何内容。
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