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Neo4j GDS: projections and graph algorithms v1.0.0

Use this resource to run GDS graph algorithms on a Neo4j database with the plugin

New

  • 404 downloads
  • 130 likes
  • 205 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install graph-data-science-algorithms

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent writes GDS calls with the graphdatascience Python client or in Cypher: graph projection, memory estimation, algorithms such as PageRank, Louvain, WCC, FastRP or KNN, and stream, mutate or write modes. You get analysis code and graph catalog cleanup. The skill does not cover serverless Aura Graph Analytics.

Mostly picked by

Updated November 2, 2026

Card for the “Neo4j GDS: projections and graph algorithms” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: workflow, execution modes and cleanup
  • references/algorithms.md: GDS algorithm catalog
  • references/graph-projection.md: native and Cypher projections

Good fit for

  • You want to compute communities or centrality scores in Neo4j
  • You chain FastRP then KNN for similarity

Not for

    Tags

    • gds
    • graph data science
    • pagerank
    • louvain
    • neo4j

    About

    You say

    “Compute the communities of my customer graph with Louvain and write the result to the nodes.”

    Card for the “Neo4j GDS: projections and graph algorithms” skill

    Skill published by neo4j-contrib under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to run GDS graph algorithms on a Neo4j database with the plugin
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • README.md1.7 KB
    • references/algorithms.md8.5 KB
    • references/graph-projection.md7.2 KB
    • SKILL.md20.2 KB

    Origin and licence

    Listed unmodified

    Author
    neo4j-contrib
    Source
    github.com/neo4j-contrib/neo4j-skills/tree/39247b9c4ab20062aefd1cfe83c040167ef9ee83/neo4j-gds-skill
    Licence
    MIT

    Notice

    « neo4j-gds-skill » (neo4j-contrib, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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