# Compare two graphs

**URL:** <https://community.neo4j.com/t/compare-two-graphs/18738>\
**Category:** Neo4j Graph Platform\
**Tags:** cypher\
**Created:** [May 16, 2020, 11:39am UTC](https://community.neo4j.com/t/compare-two-graphs/18738 "2020-05-16T11:39:55Z")\
**Posts on this page:** 20\
**Page:** 1

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 11:39am UTC](https://community.neo4j.com/t/compare-two-graphs/18738/1 "2020-05-16T11:39:55Z")

</div>

Hi graphers,

i am a total noob at neo4j and this is my first post here ! I apologize in advance if i am not posting this in the right topic or with the appropriate terms and tags.

As a part of my Msc thesis on AI, i'm writing a python algorithm to use neo4j as a support system for machine learning processes. I am trying not to use the obvious path that is to export data in tabular format and use regular machine learning libraries like Keras or pyTorch. In this spirit i am trying to develop simple graph manipulations i will use to create my algorithm in the big picture.

I've already been able to create isolated graphs (not connected between themselves) in star like formations. with a central node thats connects to all the other nodes (now i have 35 peripheral nodes but i expected it to largely grow).

The central node is of Type "Perception\_Group" and the peripheric nodes are of type "Perception". This last node has "name" and "value" (float) attributes. The "Perception\_Group" only has a "date" attribute.

What i would like to understand is how can i compare every star graph with the rest of the star graphs in an efficient way using cypher. The comparison must not return a true or false for equality. The goal is to have a "likelihood" measurement based on the "Perception" nodes "value" attributes.

I have other questions, but will post them later, after getting feedback from you guys on how to post properly.

Thank you !  
José Salvador

 ![star-graphs](https://us1.discourse-cdn.com/flex021/uploads/neo4jcommunity/original/2X/3/33e17f77d2570bc9fb00aa9c733a348574bc737e.png)

edit:  
so far have came up with this cypher (yet not working as i need and a bit slow):

MATCH (pg1:Perception\_Group)-[r:RELATED]-(p1:Perception)  
WHERE pg1.id = 20132  
WITH pg1, p1  
MATCH (pg2:Perception\_Group)-[:RELATED]-(p2:Perception)  
WHERE pg1 \<\> pg2 AND p1.name = p2.name  
RETURN pg1,pg2,p1.name,p1.value,p2.name,p2.value,sum(abs(p1.value-p2.value))

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 4:54pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/2 "2020-05-16T16:54:01Z")

</div>

Hello and welcome to the beautiful Neo4j world :)

If I understand your problem correctly, you want a Cypher query which could add the values of each Perception\_Group and return a list with the Perception\_Group id and their statistics that represents them and then use this result to make the likelihood measurement?

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 5:09pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/3 "2020-05-16T17:09:48Z")

</div>

Hi Maxime, thanks for your reply. You got it. Except that the values are in the "Perception" Nodes. The "Perception\_Group" is a central node that aggregates several "Perception" Nodes. I want to return the "Perception\_Group" nodes that are linked to the "Perception" nodes that have the lower differences when compared to another set of "Perception" nodes also aggregated by a "Perception\_Group" node.

I think i got it using this cypher:

// get nodes that are similar to a specific node  
MATCH (pg1:Perception\_Group)-[r:RELATED]-(p1:Perception)  
WHERE ID(pg1) = 20132  
WITH pg1, p1  
MATCH (pg2:Perception\_Group)-[:RELATED]-(p2:Perception)  
WHERE pg1 \<\> pg2 AND p1.name = p2.name  
RETURN pg2,round(sum(abs(p1.value-p2.value))) as difference  
ORDER BY difference ASC

Please tell me if i am doing anything wrong or can have some optimization.

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 5:22pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/4 "2020-05-16T17:22:48Z")

</div>

If I don't misunderstand your Cypher request, you should put the second part of your request in this apoc procedure `CALL apoc.cypher.run(fragment, params) yield value` ([https://neo4j.com/docs/labs/apoc/current/cypher-execution/](https://neo4j.com/docs/labs/apoc/current/cypher-execution/))

Your first 'WITH': `WITH pg1, p1` is returning something like:  
id, value  
20132, 12  
20132, 15  
20132, 127  
20132, 187  
Or you want to compare each node? So the second part of your request should be like this:

```auto
MATCH (pg1:Perception_Group)-[r:RELATED]-(p1:Perception)
WHERE ID(pg1) = 20132
WITH pg1, p1
CALL apoc.cypher.run('
WITH $pg1 AS pg1, $p1 AS p1
MATCH (pg2:Perception_Group)-[:RELATED]-(p2:Perception)
WHERE pg1 <> pg2 AND p1.name = p2.name
RETURN pg2, round(sum(abs(p1.value-p2.value))) AS difference ORDER BY difference ASC', {pg1:pg1, p1:p1})
YIELD value
RETURN value.pg2, value.difference

```

Don't forget to install APOC plugin on your database:)

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 5:35pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/5 "2020-05-16T17:35:36Z")

</div>

Maxime, thanks for the tip.

Yes i want to compare each p1 "Perception" node connected to the node pg1 "Perception\_Group" id = 20132 with p2 "Perception" nodes connected to pg2 "Perception\_Group" as long as p1.name = p2.name.

Can you explain me the difference between using apoc to run the second part of the query and not using apoc ?

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 5:40pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/6 "2020-05-16T17:40:46Z")

</div>

Yes, of course, this procedure will apply the Cypher request to each row of the previous request:

I retake the example, your first 'WITH': `WITH pg1, p1` is returning something like:  
id, value  
20132, 12  
20132, 15  
20132, 127  
20132, 187

So with this APOC procedure, the cypher request in it will be applied to each row of the result of the first `WITH`, so in my example, it will be executed 4 times:)

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 5:45pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/7 "2020-05-16T17:45:24Z")

</div>

I see now ! Thank you very much for the help Maxime. Can you help me in a last thing ? How do i compare aggregate function "sum" with a value and only have returned the nodes that pass the comparison ?

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 5:50pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/8 "2020-05-16T17:50:33Z")

</div>

No problem:)

Can you give an example of the output of your request?🙂  
So you give the value to compare?

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 6:26pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/9 "2020-05-16T18:26:49Z")

</div>

Sure Maxime, i will post an output here. Looking at apoc installation so i can send you an output.

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 6:28pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/10 "2020-05-16T18:28:28Z")

</div>

No problem, do you use Neo4j Desktop or Neo4j Server?

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 6:42pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/11 "2020-05-16T18:42:19Z")

</div>

I'm using Neo4j Desktop. Found the apoc install in manage \> plugins

here is part of my output with this query

```auto
MATCH (pg1:Perception_Group)-[r:RELATED]-(p1:Perception)
WHERE ID(pg1) = 20132
WITH pg1, p1
CALL apoc.cypher.run('
WITH $pg1 AS pg1, $p1 AS p1
MATCH (pg2:Perception_Group)-[:RELATED]-(p2:Perception)
WHERE pg1 <> pg2 AND p1.name = p2.name
RETURN pg2, round(sum(abs(p1.value-p2.value))) AS difference ORDER BY difference ASC', {pg1:pg1, p1:p1})
YIELD value
RETURN value.pg2, value.difference

```

| value.pg2 | value.difference |
| --- | --- |
| {"id":"20095","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:24.549701"}} | 0.0 |
| {"id":"20169","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:29.603277"}} | 0.0 |
| {"id":"20206","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:21.513837"}} | 0.0 |
| {"id":"20279","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:22.019647"}} | 0.0 |
| {"id":"20316","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:26.568816"}} | 0.0 |
| {"id":"20353","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:19.481929"}} | 0.0 |
| {"id":"20390","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:19.978828"}} | 0.0 |
| {"id":"20427","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:28.081917"}} | 0.0 |
| {"id":"20464","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:30.091260"}} | 0.0 |
| {"id":"20501","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:27.569511"}} | 0.0 |
| {"id":"20538","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:23.537048"}} | 0.0 |
| {"id":"20575","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:20.490064"}} | 0.0 |
| {"id":"20612","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:28.592894"}} | 0.0 |
| {"id":"20649","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:51.233649"}} | 0.0 |
| {"id":"20690","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:55.246834"}} | 0.0 |
| {"id":"20732","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:36:08.835851"}} | 0.0 |
| {"id":"20774","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:54.748825"}} | 0.0 |
| {"id":"20815","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:36:10.847765"}} | 0.0 |
| {"id":"20857","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:43.200009"}} | 0.0 |
| {"id":"20897","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:58.274311"}} | 0.0 |
| {"id":"20939","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:36:06.317193"}} | 0.0 |
| {"id":"20981","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:43.688463"}} | 0.0 |
| {"id":"21021","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:55.743179"}} | 0.0 |
| {"id":"21063","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:36:05.304956"}} | 0.0 |
| {"id":"21104","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:36:00.775204"}} | 0.0 |
| {"id":"21146","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:51.737990"}} | 0.0 |
| {"id":"21187","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:54.254422"}} | 0.0 |
| {"id":"21228","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:36:02.280656"}} | 0.0 |
| {"id":"20095","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:24.549701"}} | 0.0 |
| {"id":"20169","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:29.603277"}} | 0.0 |
| {"id":"20206","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:21.513837"}} | 0.0 |
| {"id":"20243","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:18.459334"}} | 0.0 |
| {"id":"20279","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:22.019647"}} | 0.0 |
| {"id":"20316","labels":["Perception\_Group"],"properties":{"date":"2020-05-15 00:35:26.568816"}} | 0.0 |

```auto

```

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 6:47pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/12 "2020-05-16T18:47:02Z")

</div>

Can you remove the `round`? It's a bit weird in Cypher, you must first multiply and after round the result:)

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 6:52pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/13 "2020-05-16T18:52:18Z")

</div>

For the comparaison, there are at least 2 options:

```auto
MATCH (pg1:Perception_Group)-[r:RELATED]-(p1:Perception)
WHERE ID(pg1) = 20132
WITH pg1, p1
CALL apoc.cypher.run('
WITH $pg1 AS pg1, $p1 AS p1, $val AS val
MATCH (pg2:Perception_Group)-[:RELATED]-(p2:Perception)
WHERE pg1 <> pg2 AND p1.name = p2.name
WITH pg2, sum(abs(p1.value-p2.value)) AS difference
WHERE difference <= val
ORDER BY difference ASC', {pg1:pg1, p1:p1, val:10})
YIELD value
RETURN value.pg2 AS pg2, value.difference AS difference

```

OR

```auto
MATCH (pg1:Perception_Group)-[r:RELATED]-(p1:Perception)
WHERE ID(pg1) = 20132
WITH pg1, p1
CALL apoc.cypher.run('
WITH $pg1 AS pg1, $p1 AS p1
MATCH (pg2:Perception_Group)-[:RELATED]-(p2:Perception)
WHERE pg1 <> pg2 AND p1.name = p2.name
RETURN pg2, sum(abs(p1.value-p2.value)) AS difference
ORDER BY difference ASC', {pg1:pg1, p1:p1})
YIELD value
WITH value.pg2 AS pg2, value.difference AS difference
WHERE difference <= 10
RETURN pg2, difference

```

You can replace 10 with what you want:)

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 6:52pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/14 "2020-05-16T18:52:52Z")

</div>

![screenshot1](https://us1.discourse-cdn.com/flex021/uploads/neo4jcommunity/original/2X/5/5aed1f9ed658e8b45cff240baba7552286db6c0a.png)

Sure, took the round

| value.pg2 | value.difference |
| --- | --- |

```auto
|{"id":"20095","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:24.549701"}}|0.0|
|{"id":"20169","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:29.603277"}}|0.0|
|{"id":"20206","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:21.513837"}}|0.0|
|{"id":"20279","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:22.019647"}}|0.0|
|{"id":"20316","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:26.568816"}}|0.0|
|{"id":"20427","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:28.081917"}}|0.0|
|{"id":"20464","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:30.091260"}}|0.0|
|{"id":"20501","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:27.569511"}}|0.0|
|{"id":"20538","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:23.537048"}}|0.0|
|{"id":"20575","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:20.490064"}}|0.0|
|{"id":"20612","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:28.592894"}}|0.0|
|{"id":"20649","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.233649"}}|0.042545031344274564|
|{"id":"20690","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.246834"}}|0.042545031344274564|
|{"id":"20732","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:08.835851"}}|0.042545031344274564|
|{"id":"20774","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.748825"}}|0.042545031344274564|
|{"id":"20815","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:10.847765"}}|0.042545031344274564|
|{"id":"20857","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.200009"}}|0.042545031344274564|
|{"id":"20897","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:58.274311"}}|0.042545031344274564|
|{"id":"20939","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:06.317193"}}|0.042545031344274564|
|{"id":"20981","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.688463"}}|0.042545031344274564|
|{"id":"21021","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.743179"}}|0.042545031344274564|
|{"id":"21063","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:05.304956"}}|0.042545031344274564|
|{"id":"21104","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:00.775204"}}|0.042545031344274564|
|{"id":"21146","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.737990"}}|0.042545031344274564|
|{"id":"21187","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.254422"}}|0.042545031344274564|
|{"id":"21228","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:02.280656"}}|0.042545031344274564|
|{"id":"20390","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.978828"}}|0.10000000000000009|
|{"id":"20353","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.481929"}}|0.20000000000000007|
|{"id":"20206","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:21.513837"}}|2.6656310438077924E-5|
|{"id":"20575","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:20.490064"}}|3.100551009097008E-5|
|{"id":"20279","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:22.019647"}}|5.3370287190712684E-5|
|{"id":"20390","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.978828"}}|1.8358258195143307E-4|
|{"id":"20243","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:18.459334"}}|0.008551133034149672|
|{"id":"20353","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.481929"}}|0.008687547220908878|
|{"id":"20538","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:23.537048"}}|0.07780129372546173|
|{"id":"20095","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:24.549701"}}|0.07832544349879707|
|{"id":"20316","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:26.568816"}}|0.07881734422865662|
|{"id":"20501","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:27.569511"}}|0.07892215806603652|
|{"id":"20427","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:28.081917"}}|0.07895626008386748|
|{"id":"20612","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:28.592894"}}|0.07898208692178944|
|{"id":"20169","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:29.603277"}}|0.07901653330463797|
|{"id":"20464","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:30.091260"}}|0.07902788131664364|
|{"id":"21063","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:05.304956"}}|2.5446969132768706|
|{"id":"20939","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:06.317193"}}|2.5470468454364203|
|{"id":"20690","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.246834"}}|2.8409042837924128|
|{"id":"20774","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.748825"}}|2.8411682773046447|
|{"id":"21187","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.254422"}}|2.8415108331360823|
|{"id":"21146","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.737990"}}|2.8420907325966045|
|{"id":"20649","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.233649"}}|2.8427137662795667|
|{"id":"20732","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:08.835851"}}|2.858075119399255|
|{"id":"20897","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:58.274311"}}|2.9246340143444947|
|{"id":"21021","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.743179"}}|2.925595287082562|
|{"id":"20815","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:10.847765"}}|2.9265401139304412|
|{"id":"20981","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.688463"}}|2.9873337181090114|
|{"id":"21104","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:00.775204"}}|3.0271467531155674|
|{"id":"21228","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:02.280656"}}|3.027636566918324|
|{"id":"20857","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.200009"}}|3.1124638166056697|
|{"id":"20206","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:21.513837"}}|5.234343938675945E-5|
|{"id":"20575","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:20.490064"}}|5.289834295985063E-5|
|{"id":"20390","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.978828"}}|6.686117499166144E-5|
|{"id":"20279","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:22.019647"}}|1.0456201958009004E-4|
|{"id":"20353","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.481929"}}|6.628374507938739E-4|
|{"id":"20243","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:18.459334"}}|0.008897570793634957|
|{"id":"20464","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:30.091260"}}|0.027167230708835532|
|{"id":"20169","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:29.603277"}}|0.0272505583393734|
|{"id":"20612","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:28.592894"}}|0.02742281229951571|
|{"id":"20427","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:28.081917"}}|0.02751257693465292|
|{"id":"20501","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:27.569511"}}|0.02760556549629689|
|{"id":"20316","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:26.568816"}}|0.027804346629534127|
|{"id":"20095","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:24.549701"}}|0.02829713719484328|
|{"id":"20538","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:23.537048"}}|0.02860351670418626|
|{"id":"20857","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.200009"}}|0.4268185081487963|
|{"id":"20981","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.688463"}}|0.4345143868557879|
|{"id":"21146","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.737990"}}|0.46546036244159206|
|{"id":"20649","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.233649"}}|0.46553031961461677|
|{"id":"21187","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.254422"}}|0.4658225116166195|
|{"id":"20774","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.748825"}}|0.4659469560838323|
|{"id":"20690","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.246834"}}|0.46601114579621683|
|{"id":"21228","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:02.280656"}}|0.47621154247855824|
|{"id":"21104","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:00.775204"}}|0.47680577907278776|
|{"id":"20897","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:58.274311"}}|0.4776072878367983|
|{"id":"21021","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.743179"}}|0.4817358082098935|
|{"id":"20815","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:10.847765"}}|0.6727962998591157|
|{"id":"20939","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:06.317193"}}|0.6778355399882396|
|{"id":"21063","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:05.304956"}}|0.6788779860398249|
|{"id":"20732","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:08.835851"}}|0.6808771172199073|
|{"id":"20206","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:21.513837"}}|5.52183997948319E-6|
|{"id":"20279","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:22.019647"}}|1.1138528230425493E-5|
|{"id":"20575","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:20.490064"}}|1.1825634420592479E-5|
|{"id":"20390","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:19.978828"}}|1.9718035320437366E-4|
|{"id":"21063","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:05.304956"}}|2.403027491227956|
|{"id":"20939","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:06.317193"}}|2.4054353044516743|
|{"id":"20732","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:08.835851"}}|2.7196175556779227|
|{"id":"20815","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:10.847765"}}|2.7888665433281896|
|{"id":"20857","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.200009"}}|2.985413188349379|
|{"id":"21228","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:02.280656"}}|3.042149982972614|
|{"id":"21104","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:36:00.775204"}}|3.0426248525860244|
|{"id":"20981","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:43.688463"}}|3.1257739435723657|
|{"id":"21021","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.743179"}}|3.152324006365701|
|{"id":"20897","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:58.274311"}}|3.153410291611244|
|{"id":"20649","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.233649"}}|3.2393928817613653|
|{"id":"21146","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:51.737990"}}|3.2400814992283906|
|{"id":"21187","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.254422"}}|3.240890180087979|
|{"id":"20774","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:54.748825"}}|3.241294053954559|
|{"id":"20690","labels":["Perception_Group"],"properties":{"date":"2020-05-15 00:35:55.246834"}}|3.2416160221203163|

```

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 6:54pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/15 "2020-05-16T18:54:47Z")

</div>

It's better no? 🙂

I gave you 2 options for the comparison on my last post :)

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 6:54pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/16 "2020-05-16T18:54:55Z")

</div>

Wonderful Maxime, you have been a big help !

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 6:56pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/17 "2020-05-16T18:56:16Z")

</div>

No problem! 😄

Regards,  
Cobra

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 6:57pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/18 "2020-05-16T18:57:22Z")

</div>

Done ! Cheers and have a very good weekend Maxime.

---

<div class="post-metadata">

**Author:** ![Cobra](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/cobra/32/35243_2.png) [@Cobra](https://community.neo4j.com/u/Cobra)\
**Post date:** [May 16, 2020, 6:58pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/19 "2020-05-16T18:58:28Z")

</div>

It was not the good post but it's fine:) Good weekend too:)

---

<div class="post-metadata">

**Author:** ![a10554](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/a10554/32/11668_2.png) [@a10554](https://community.neo4j.com/u/a10554)\
**Post date:** [May 16, 2020, 6:59pm UTC](https://community.neo4j.com/t/compare-two-graphs/18738/20 "2020-05-16T18:59:33Z")

</div>

Sorry i did it wrong first and changed it after

[Next page](https://community.neo4j.com/t/compare-two-graphs/18738.md?page=2)