This Week in Neo4j – Graph Embeddings, Reddit, jQAssistant, Helidon, Corporate Data, Query Tuning
By Elaine Rosenberg
May 15, 2021 3 mins read
Hello, everyone! In this week’s episode, Tomaz Bratanic teaches you how to visualize graph embedding algorithm results in NEuler. Ümit Kaan Usta has developed a Reddit Detective Python application that can be used to discover potentially problematic data in Reddit.… Read more →
Explore: Analytics • application architecture • corporate knowledge • cypher • Cypher Query • Cypher query tuning • data modeling • fraud analysis • graph algorithms • graph embedding
Graph-Powered Recommendations: Instantly Evaluating Relationships
By David Penick
May 18, 2020 3 mins read
Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: Big Data • blog • blog series • cypher • Cypher Query • graph algorithms • graph powered recommendation • Hadoop • Intelligent Recommendations Framework • Recommendation Engine
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
Cypher: How to Rewrite a UNION Query Using a COLLECT Clause
By Bryce Merkl Sasaki
May 17, 2016 5 mins read
Cypher is a declarative query language created for querying Neo4j‘s graph data. In Cypher, as in SQL, queries are built up using various clauses. One such clause is the UNION clause that we will discuss in this post. The UNION… Read more →
Explore: COLLECT • cypher • Cypher Query • data model • declarative query language • neo4j • ORDER BY • query language • sql • UNION
Cypher: LOAD JSON from URL AS Data
By Michael Hunger, Developer Relations
July 29, 2015 7 mins read
Update: Much of this got much easier today with user defined procedures, like apoc.load.json, which add this kind of capability to Cypher directly. Neo4j’s query language Cypher supports loading data from CSV directly but not from JSON files or URLs.… Read more →
Explore: bash • Cypher Query • java • javascript • json • load json • neo4j • python • ruby • stack overflow
Neo4j 2.2.0 – Massive Write & Read Scalability, Faster Cypher Query Performance, Improved Developer Productivity
By Neo4j Staff
March 25, 2015 5 mins read
The Neo4j team is very proud to announce the the immediate availability of Neo4j 2.2, with major updates allowing organizations to derive maximum value from their data relationships. Our latest release represents an astounding 20+ person years’ worth of engineering… Read more →
Explore: Cost-Based Optimizer • cypher • Cypher Query • Cypher Query Performance • Developer Productivity • In-Memory Page Cache • Massive Writes • neo4j 2.2 • Query Plan Visualization • Read Scalability
Neo4j 2.0.0-M06 – Introducing Neo4j’s Browser
By Neo4j Staff
October 15, 2013 3 mins read
Type in a Cypher query, hit <enter>, then watch a graph visualization unfold. Want some data? Switch to the table view and download as CSV. Neo4j’s new Browser interface is a fluid developer experience, with iterative query authoring and graph… Read more →
Explore: csv • cypher • Cypher Query • IDE • json • Neo4j Browser • Query result visualization • REPL
Neo4j Labs: Heroku, Neo4j and Google Spreadsheet in 10min. Flat.
By Neo4j Staff
December 4, 2011 2 mins read
Hi all,Last Friday, we were all labbing again – the best day of the week.I didn’t have much time so I decided to try to produce a screencast that would measure the time required to go from nothing to flash… Read more →
Explore: addon • cypher • Cypher Query • google • google spreadsheet • heroku • hosting • labs • ruby app