GraphConnect is right around the corner! We are so excited to get together with the community for this long-awaited onsite event in Austin, Texas, from June 6 – 8, 2022. You can learn all about it – speakers, content, and social events – online. There’s still time for you join the festivities!
All of us are interested in the insights graph technology extracts from complex datasets to solve some of society’s most pressing problems. For that, Neo4j created Graphs4Good to showcase the graphistas around the global who are using graph technology to build a better world. In this edition, Jennifer Reif takes a look at the technical setup of three of those projects in cancer research, food supply, and safe space travel.
FEATURED COMMUNITY MEMBER: Grant Beasley
EXTRACT KNOWLEDGE FROM TEXT: Extraction Pipeline With spaCy and Neo4jThe development of powerful IE pipelines gives mortals a chance to comprehend the increasing flood of information available online. Tomaz demonstrates a couple of spaCy IE pipelines that process Wikipedia articles for coreference resolution and relation extraction and entity linking. He uses a graph database to store the results and the WikiData API to enrich the graph.
A COMPREHENSIVE GUIDE: Cypher Map ProjectionSometimes your application could use its query results in a JSON format similar to a GraphQL output. Estelle Scifo shows us how to use Cypher’s map projection to customize the return fields for each query.
TWEET OF THE WEEK: @tnurkiewiczDon’t forget to retweet if you like it!
Ep #73 of #aroundITin256 podcast: #Neo4j: all your data as a graph?: https://t.co/jvQIivwawP— Tomasz Nurkiewicz 🇺🇦 (@tnurkiewicz) May 10, 2022
"What makes it different is the unusual data model. In Neo4j everything is modeled as a graph. […] it turns out many problems can be efficiently modeled as graphs"
… OF INTEREST
In case you missed it, Thomas Larsen released an update to his Neo4j connectors for Alteryx. You can now output multiple relationships between nodes of the same type. Learn more.
Clair Sullivan presented a talk about arrays, linked lists, and graphs at Data Umbrella. Watch it here .
Alex Law shows you how Kineviz GraphXR & Neo4j AuraDB work together to accelerate your path to graph. Learn more.