This Week in Neo4j: Graph Data Science 2.3 Release, GraphGPT, New Courses, Recommendation Engine, Selling KGs to Execs, and More!
Sr. Manager, Developer Community
3 min read
Graph Data Science 2.3 was just released! Check out the new features like the Minimum Directed Steiner Tree, super useful for understanding the shortest or least expensive routes when travelling from multiple locations to a specific destination. Or HashGNN, where, instead of doing neural transformations like most GNNs, transformations are done by locality-sensitive min-hashing.
We are also introducing negative relationships, which provide negative relationship examples for more options to train link prediction models and get them into production quickly. Learn more about it here.
Cheers,
Yolande Poirier
P.S.: If you’re a developer building modern applications with GraphQL, don’t forget to take this short, two-minute survey. We want to hear from you!
FEATURED NODES SPEAKER: Mark Needham
Mark is an Apache Pinot Advocate and Developer Relations Engineer at StarTree. He previously worked as Developer Relations Engineer at Neo4j. Apart from writing blog posts and creating videos, Mark is dedicated to the developer experience, simplifying the process of getting started by making tweaks to product and documentation. Mark writes about his experiences working with all things data at markhneedham.com. Connect with him on Twitter.
In his NODES 2022 presentation, he exposes a graph model before doing a quick walk-through of it based on his predictions of tennis tournaments in 2022. Watch his talk “Graph Modeling The Shadow Graph”!
AI: Use ChatGPT to Query Your Neo4j Database
In this blog, Tomaz Bratanic trains the famous AI bot to generate Cypher queries. He feeds it a graph schema, and prompts it to self-correct its own errors.
OPENSOURCE: Extrapolating Knowledge Graphs From Unstructured Text Using GPT-3
GraphGPT, an open source project by Varun Shenoy, converts unstructured natural language into a knowledge graph. Use your OpenAI API key to try the web version or install on your machine from the GitHub repo.
HANDS-ON: Recommendation System Using Neo4j
In this second article, he explains writing cypher queries for loading the data, tracking new orders and implementing the recommendations.
FREE TRAINING: Neo4j GraphAcademy News for Q4 2022
NODES SESSION: Doctor.ai A Graph-Based Medical Chatbot
KNOWLEDGE GRAPH ADOPTION: Sales Pitch for Getting Executive Support
UBUNTU CONFIGURATION: How to Install the Neo4j Graph Database on Ubuntu Server 22.04
APP: Creating the Magic Remote Control
TWEET OF THE WEEK: @rastadidi
Don’t forget to retweet, if you like it!
? #apistrategy benefits in real life:
? Focus on #interoperability
?️ Design & release an #apis
? Get clean data #csv exports
??? #collaboration between #datascientist and #programmers
? Enjoy #datavisualization on #saas #cloudplatforms @neo4j https://t.co/p9Ky8yyu6K— Adrien SALES (@rastadidi) February 6, 2023
COMING UP NEXT
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- Discover AuraDB with Michael and Alexander on February 13, 2023.
- Meetups: Coming up this week are several meetups around the world.
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