Graph Data Science with Neo4j Graph Algorithms - Will Lyon

Graph algorithms provide one of the most potent approaches to analysing connected data. They describe steps to be taken to pGraph algorithms provide one of the most potent approaches to analysing connected data. They describe steps to be taken to process a graph to discover its general or specific quantities. In this talk we will introduce you to the Neo4j Graph Algorithms library, giving a brief overview of the different types of algorithms available, and where you might use them. We will also show you how to get set up with the Graph Algorithms library, as well as introducing you to NEuler, the Cypher-free graph algorithms playground.
Links:
- Graph Algorithms Book (free download until 15 July 2020): neo4j.com/graph-algorithms-book
- Graph Data Science plugin, Neo4j Desktop: neo4j.com/download-center
- Graph Data Science sandbox: sandbox.neo4j.com/?usecase=graph-data-science
- Hands-On With The Neo4j Graph Data Science Sandbox: medium.com/neo4j/hands-on-with-the-neo4j-graph-- data-science-sandbox-7b780be5a44f
- Documentation: neo4j.com/docs/graph-data-science/
- Tomaz Bratanic’s porting examples: github.com/tomasonjo/zeppelin-graph-algorocess a graph to discover its general or specific quantities. In this talk we will introduce you to the Neo4j Graph Algorithms library, giving a brief overview of the different types of algorithms available, and where you might use them. We will also show you how to get set up with the Graph Algorithms library, as well as introducing you to NEuler, the Cypher-free graph algorithms playground.
Links:
- Graph Algorithms Book (free download until 15 July 2020): neo4j.com/graph-algorithms-book
- Graph Data Science plugin, Neo4j Desktop: neo4j.com/download-center
- Graph Data Science sandbox: sandbox.neo4j.com/?usecase=graph-data-science
- Hands-On With The Neo4j Graph Data Science Sandbox: medium.com/neo4j/hands-on-with-the-neo4j-graph-- data-science-sandbox-7b780be5a44f
- Documentation: neo4j.com/docs/graph-data-science/
- Tomaz Bratanic’s porting examples: github.com/tomasonjo/zeppelin-graph-algo

[@VaibhavPatil-rx7pc]

Great explanation

[@colinzhang1081]

Thx. very helpful and clear

[@otaviocx]

Great presentation! Clean and easy to understand. Thanks! One question: is there a way to deal with Graph Neural Networks using GDS Library?

[@tanutiwarivlogs2505]

Hello sir can you please tell me how to use ego algorithm if our function is not known at all

[@omidrashnodi5944]

Thx. very helpful and clear