This Week in Neo4j: Graphs4Good, GraphQL, Game of Life, Information Extraction, Cypher Map Projection, and More
Sr. Manager, Developer Community
3 min read
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.
Cheers,
Yolande Poirier
FEATURED COMMUNITY MEMBER: Grant Beasley
EXTRACT KNOWLEDGE FROM TEXT: Extraction Pipeline With spaCy and Neo4j
The 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.GRAPHS4GOOD: Graph Technology is Tackling Complex, Real-World Problems
By allowing us to see underlying context and relationships that get missed in other data formats, graph technology is improving life for all of us. Jennifer looks at three project areas from the Graphs4Good department, where graphs help solve the complex technical challenges involved in the fields of cancer research, feeding the world, and cleaning up space garbage.VIDEO: Building Secure GraphQL APIs Without the Boilerplate
BLOG: Conway’s Game of Life in Neo4j
A COMPREHENSIVE GUIDE: Cypher Map Projection
Sometimes 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: @tnurkiewicz
Don’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.
BloodHound is a single page Javascript web application with a Neo4j database fed by a C# data collector. Check it out.
Share Article
Explore
Related Articles
This Week in Neo4j: Linux Foundation, GraphQL, Cypher, Llamaindex, GraphRAG and more
3 min read
This Week in Neo4j: GraphAcademy, Knowledge Graph, Neo4j Recap, Hypermode and more
3 min read
