# Performance problems with Personalized PageRank

**URL:** <https://community.neo4j.com/t/performance-problems-with-personalized-pagerank/42943>\
**Category:** Graph Data Science / Graph Analytics\
**Created:** [August 15, 2021, 5:01pm UTC](https://community.neo4j.com/t/performance-problems-with-personalized-pagerank/42943 "2021-08-15T17:01:27Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![SandroMartens](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/sandromartens/32/18912_2.png) [@SandroMartens](https://community.neo4j.com/u/SandroMartens)\
**Post date:** [August 15, 2021, 5:01pm UTC](https://community.neo4j.com/t/performance-problems-with-personalized-pagerank/42943/1 "2021-08-15T17:01:27Z")

</div>

So I want to compute the Personalized PageRank of my nodes. The normal PageRank runs in ~1s or so. My query for PPR runs a few minutes (when i terminate it)

My Code:

```auto
match (n:Nutzer {mainAutor: True})
Call gds.pageRank.write({
  nodeProjection: "Nutzer",
  relationshipProjection: "ANTWORTETE_AUF",
  relationshipProperties: "anzahlTweets",
  relationshipWeightProperty: "anzahlTweets",
  writeProperty: "PageRankAntworten",
  sourceNodes: [n]
  }
)
YIELD nodePropertiesWritten
RETURN nodePropertiesWritten

```

I'm using Neo4j 4.3.3 with GDS Library 1.6.4.

---

<div class="post-metadata">

**Author:** ![michael.hunger](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/michael.hunger/32/27377_2.png) [@michael.hunger](https://community.neo4j.com/u/michael.hunger)\
**Post date:** [August 19, 2021, 8:53pm UTC](https://community.neo4j.com/t/performance-problems-with-personalized-pagerank/42943/2 "2021-08-19T20:53:39Z")

</div>

can you please create a GH issue in

> **[GitHub - neo4j/graph-data-science: Source code for the Neo4j Graph Data...](https://github.com/neo4j/graph-data-science)**
>
> Source code for the Neo4j Graph Data Science library of graph algorithms. - GitHub - neo4j/graph-data-science: Source code for the Neo4j Graph Data Science library of graph algorithms.