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This Week in Neo4j
7th October 2017
The week's graph database news
in one handy slide deck!
Featured community member: Michal Bachman
https://twitter.com/bachmanm
GraphAware released neo4j-nlp, a set of tools that help
combine the worlds of graph databases and natural
language processing. The
library features text
extraction, LDA, complex
search, and more
neo4j-nlp: Graph Based Natural Language Processing
https://graphaware.com/neo4j/2017/10/03/efficient-unsupervised-topic-extraction-nlp-neo4j.html
Managing component complexity with graph databases
https://www.youtube.com/watch?v=3DmpW3SosSM
Will Lyon released the first version of neo4j-graphql-js, a
GraphQL to Cypher query execution layer for Neo4j and
JavaScript GraphQL
implementations.
neo4j-graphql-js: GraphQL to Cypher
https://github.com/neo4j-graphql/neo4j-graphql-js
Driving event attendance with Neo4j/Facebook API
https://www.youtube.com/watch?v=m9HYUWWF2Sw
John Mercouris created Networkt, a project that aims to do
temporal network analysis on digital networks. John
combines Neo4j and Python's scikit-learn library to do this
analysis.
Networkt: Temporal digital network analysis
https://github.com/jmercouris/networkt
If you liked this check out the blog post
https://neo4j.com/blog/this-week-neo4j-7-october-2017

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This week in Neo4j - 7th October 2017

  • 1. This Week in Neo4j 7th October 2017
  • 2. The week's graph database news in one handy slide deck!
  • 3. Featured community member: Michal Bachman https://twitter.com/bachmanm
  • 4. GraphAware released neo4j-nlp, a set of tools that help combine the worlds of graph databases and natural language processing. The library features text extraction, LDA, complex search, and more neo4j-nlp: Graph Based Natural Language Processing https://graphaware.com/neo4j/2017/10/03/efficient-unsupervised-topic-extraction-nlp-neo4j.html
  • 5. Managing component complexity with graph databases https://www.youtube.com/watch?v=3DmpW3SosSM
  • 6. Will Lyon released the first version of neo4j-graphql-js, a GraphQL to Cypher query execution layer for Neo4j and JavaScript GraphQL implementations. neo4j-graphql-js: GraphQL to Cypher https://github.com/neo4j-graphql/neo4j-graphql-js
  • 7. Driving event attendance with Neo4j/Facebook API https://www.youtube.com/watch?v=m9HYUWWF2Sw
  • 8. John Mercouris created Networkt, a project that aims to do temporal network analysis on digital networks. John combines Neo4j and Python's scikit-learn library to do this analysis. Networkt: Temporal digital network analysis https://github.com/jmercouris/networkt
  • 9. If you liked this check out the blog post https://neo4j.com/blog/this-week-neo4j-7-october-2017