This Week in Neo4j – Building a Fashion Knowledge Graph, Carrefour Basket Dataset Challenge, Community detection on Game of Thrones, Analysing Network Traffic
November 30, 2019 4 mins read
Hi graph gang, There was so much content produced this week that I couldn’t fit it all in! Don’t worry though, we’ll cover the rest next week. In this week’s video from the NODES 2019 conference, Luanne Misquitta explains why… Read more →
Explore: Game of Thrones • graph data modeling • Knowledge Graph • Neo4j Aura • NODES 2019 • Quick Graph • Retail • twin4j
#GraphCast: “All Graph Databases Are Not Created Equal”
November 29, 2019 < 1 min read
Check out this week’s #GraphCast, featuring a recorded discussion on the graph database buying process. Watch “All Graphs Are Not Created Equal” now.
Explore: Amy Hodler • data analysis • data science • Graph Analytics • Graph Data • graph database • GraphCast • leading graph database • Real-time • real-time analysis
Graph Theory Takes on the Opioid Epidemic
November 27, 2019 12 mins read
Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.
Explore: centrality • Connected Data • context • datacon • fraud • graph algorithms • graphconnect • Healthcare • opioid • opioid epidemic
Responsible AI: The Critical Need for Context (and Practical Tips)
November 26, 2019 10 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Explore: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
This Week in Neo4j – Building Spatial Search Algorithms for Neo4j, Colruyt Data Science assignment, GR-R-ANDstack, Releases of APOC and Halin
November 23, 2019 5 mins read
Hi graph gang, In this week’s video from the NODES 2019 conference, Craig Taverner demonstrates a new library that we’ve been working on to prototype new spatial algorithms. Tomaz Bratanic builds a graph analytics pipeline to explore the transport system… Read more →
Explore: APOC • Cambridge Intelligence • GRANDstack • graph algorithms • Halin • neo4j spatial • NODES 2019 • Transportation • twin4j
Graph Hyper-Growth Ahead: 5-Minute Interview with Kyle McNamara
November 22, 2019 2 mins read
Check out this 5-minute interview with Kyle McNamara, CEO, Americas at GraphAware, about how GraphAware works alongside Neo4j.
Explore: 5-minute interview • graph database • graph technology • GraphAware • Knowledge Graph • Kyle McNamara • natural language processing • real-time recommendations • sql
A Conversation with Graphs
November 20, 2019 19 mins read
Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →
Explore: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
November 19, 2019 9 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Explore: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
This Week in Neo4j – APOC Pearls, Exploring Full-Text Search, Exploring structural balance, Graphistania v2.0
November 16, 2019 5 mins read
Hi graph gang, A few colleagues and I spent a couple of days this week at the Big Data London Conference this week. I was mostly on booth duty, but also presented a variant of Amy Hodler’s fantastic Responsible AI… Read more →
Explore: APOC • full-text search • Graphistania • JMeter • Networks Crowds Markets • twin4j