There’s a wealth of fine content and varied perspectives on graphs in this week’s newsletter.
The not-to-miss articles include transferring unstructured text – including emails, news articles, and more – into a knowledge graph. We also show you how to use Neo4j to analyze data for your ML project.
Keep reading for a discussion about the uses of graph databases in cybersecurity, and don’t miss the piece on Kubernetes deployment with the Neo4j Helm chart. We also test the ability of knowledge graphs to represent domains of knowledge, exploring how a graph encompassing multiple domains is used for discovering COVID-19 treatments.
Enjoy the graphy goodness!
FEATURED COMMUNITY MEMBER: Elena Kohlwey
FROM TEXT TO A KNOWLEDGE GRAPH: The Information Extraction PipelineThe information to incorporate into knowledge graphs is often unstructured text, such as news articles, emails and scientific journal entries. Tomaz Bratanic shares how to build an information extraction pipeline to transform unstructured text inputs into a useful knowledge graph.
GRAPH DATA SCIENCE: Demonstrating ML on GraphsDimitris Panagopoulos demonstrates how to use Neo4j and Python to analyze a sample of arXiv articles. The sample consists of 600 articles on mathematics from arXiv, an open-access archive of scholarly articles. He shares all the Python code in GitHub.
OPEN SECURITY SUMMIT: Using Neo4j for Cybersecurity
KNOWLEDGE GRAPH: Is a Knowledge Graph Capable of Capturing Human Knowledge?Alessandro Negro demonstrates how knowledge graphs are capable of representing knowledge in multiple domains. He shows how machine learning algorithms can be properly fed by graphs.
TWEET OF THE WEEK: @jxvksDon’t forget to retweet it if you liked it!
so a LOT of the staff at work have kissed… their chart of it was a mess, so I tried modelling it in the database mapping tool neo4j … and conclusion: this mcSluttery cannot be mapped in 2D space pic.twitter.com/0Q3Vj0wBAp— freudian slip-n-slide (@jxvks) March 28, 2022
WHAT ELSE IS GOING ON?
Neo4j Live: Discover Neo4j AuraDB Free with Michael and Adam is on April 4.
Going Meta – Ep 3: Controlling the shape of your graph with SHACL is on April 5.
Don’t miss the weekly videos in the Bite-Sized Neo4j for Data Scientists series. In parts 25 to 29, Clair Sullivan presents a five-part series to help with your Kaggle competition graph.