Graph data science library

[LeoVogiatzis]

I have the Neo4j-Desktop version 1.2.3 and the new library Graph data science doesnt exist sto i tried to install a jar from the neo4j.com/download-center/ and i put it in the pluggins of the neo4j but the database didnt work and the library didnt exist.Is there a solution about this topic because it is for my thesis and I want it promptly.Thanks!!!

[koji]

Hi,

The easiest thing to do is to install the latest version of Neo4j Desktop from the plugin tab.

The supported Neo4j versions are 3.5.9 to 3.5.17.
If you downloaded and registered the jar, you need to rewrite neo4j.conf.

dbms.security.procedures.unrestricted=gds.*

Please refer to the following URL.

https://neo4j.com/docs/graph-data-science/current/installation/

[LeoVogiatzis]

Good morning, but if i install the new neo4j desktop version the 2 databases that i have wont be lost?Also i had download the jar and i change the configuration files and didnt work again.Thanks for your reply.

Στις Παρ, 17 Απρ 2020 στις 4:09 π.μ., ο/η Koji Annoura via Neo4j Online Community neo4jcommunity@discoursemail.com έγραψε:

[LeoVogiatzis]

[koji]

Hi,

Please uninstall "Graph Algorithms". "Graph Data Science Library" and "Graph Algorithms" cannot be used at the same time.

WARNING: The Graph Data Science library is NOT compatible with the Graph Algorithms library - only one plugin should be installed per database.

[LeoVogiatzis]

Hi, thanks for your reply ,but i did all my survey about a social network with Graph Algorithms library and I read that Graph data science is experimental.Which library is more propper to occupy for my thesis?

[koji]

Hi,

I have heard that the Science Library for Neo4j 4.0 will be released soon. Our project is planning to move from the "Graph Algorithms" to the "Graph Data Science Library".
https://neo4j.com/blog/announcing-neo4j-for-graph-data-science/
https://neo4j.com/docs/graph-data-science/current/appendix-b/

[LeoVogiatzis]

Hello again,I'm using py2neo Api to get the results of the link prediction algorithms and observed that it takes a lot time to finish the processing especially for my problem which has 1.300.000 edges (3 different types which could be parallel) and 4.600 nodes.I've calcuclulated that this process could be finsihed in 70 hours minimum.Is there a way to run concurent this problem ,either with neo4j or python?

[LeoVogiatzis]

Hello, I follow the the solultion that gave to me, but while previously link prediction algorithms were working now they dont exist in the database,Sould i do something to fix it or to return to Graph algorithms Library is there a difference between them?