This Week in Neo4j – API Summit, GraphQL, Modeling, Nextjs, Image Recognition, KarateClub, Migration

Hello, everyone! I hope you are having a great summer and can take some time to refresh yourselves. In spite of the summer hiatus, many folks have been busy doing Neo4j-related work! This week, we highlight Rajesh Gaddipati and Vishal… Read more →

Explore:  


This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning

Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Luc Michalski has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit. Dirk… Read more →

Explore:  


Announcing: Graph-Native Machine Learning in Neo4j!

Check out this blog to learn more about Graph Data Science 1.4, with its exciting inclusion of graph-native ML.

Explore:  


DeepWalk: 5-Minute Interview with Dr. Steven Skiena

“Graphs have become very powerful, they’re fundamental, and they’re only becoming more and more important,” said Dr. Steven Skiena, Director of the AI Institute at Stony Brook University. Graphs are a fundamental part of computer science, and they are only… Read more →

Explore:  


This Week in Neo4j – Graph Modeling Tips, Full-Text Search Preview, Building a Graph App

Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. I found some excellent material including graph modeling tips from Max and Michael Simons, computing graph embeddings,… Read more →

Explore:  


This Week in Neo4j – DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global Power Emissions Database

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have DeepGL on Peer to Peer Network, Relational to Graph with APOC, Global… Read more →

Explore: