This Week in Neo4j – Near Natural Language Search in Bloom, Neo4j on Pivotal Container Service, Neo4j – Kafka – MySQL
By Mark Needham
July 20, 2019|Reading time: 3 minutes
This week Anurag Tandon shows us how to do Near Natural Language Search in Bloom, and we saw the release Neo4j Enterprise Causal Clustering on Pivotal Container Service (PKS). We also learn how to use Siren, an investigative intelligence platform,… Read more →
Explore: apache kafka • graph algorithms • Neo4j Bloom • neo4j streams • pivotal • twin4j
Toward AI Standards: Context Makes AI More Robust
By Jocelyn Hoppa
July 15, 2019|Reading time: 4 minutes
Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.
Explore: ai • AI application • AI solution • Boeing • chatbot • Data Relationships • fraud detection • graph algorithms • graph analysis • graph platform • machine learning • neo4j
Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]
By Allison Wu
June 27, 2019|Reading time: 1 minute
Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.
Explore: ai • artificial intelligence • automotive • bill of materials • graph algorithms • logistics • machine learning • manufacturing • supply chain management • webinar
Improving Machine Learning Predictions Using Graph Algorithms [Video]
By Bryce Merkl Sasaki
June 20, 2019|Reading time: 1 minute
Watch this webinar on how graph algorithms are reinventing the field of intelligent applications by improving the predictability of AI and ML models.
Explore: ai • artificial intelligence • feature selection • graph algorithms • link prediction • machine learning • machine learning predictions • ML • overfitting • webinar
This Week in Neo4j – Women’s World Cup Graph, Bloom Sandbox, Exploring shell companies with graph algorithms
By Mark Needham
June 15, 2019|Reading time: 4 minutes
This week Mike Morley and Sony Green show us how to model and visualize borehole data with Neo4j and GraphXR, and we have a Neo4j Graph for the Women’s World Cup. We also have a Bloom Sandbox, exploration of shell… Read more →
Explore: data import • data journalism • Google Cloud • graph algorithms • GraphXR • Kineviz • Neo4j Bloom • Spotify • twin4j • Women's World Cup
NODES 2019: Launching the Neo4j Online Developer Expo & Summit!
By Bryce Merkl Sasaki
June 5, 2019|Reading time: 3 minutes
Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.
Explore: ai • APOC • cypher • GRANDstack • graph algorithms • graphHack • machine learning • Neo4j Community • nodes • Recommendation Engines
The Seven Bridges of Königsberg: A Dog’s Eye View
By Jocelyn Hoppa
May 23, 2019|Reading time: 7 minutes
Follow Armstrong as he pathfinds his way through North London, with the help of graph algorithms, discovering new routes to cover more territory.
Explore: cypher • graph algorithms • graph database • Leonhard Euler • neo4j • pathfinding • Seven Bridges of Königsberg • shortest path • temporal view
Going Underground: Graphing and Pathfinding London Tube Lines
By Jocelyn Hoppa
May 2, 2019|Reading time: 6 minutes
Read the latest installment of Joe Depeau’s blog series on graphing and pathfinding the London Underground, complete with Cypher queries and data models.
Explore: geospatial query • graph algorithms • graph database • London Tube • meta-graph • neo4j • pathfinding • public transportation • weighted shortest path
This Week in Neo4j – Graphs to fight diabetes, Overhaul to visualization tools page, Eventing Graph Data With Neo4j & RabbitMQ, Arrows Tips and Tricks
By Mark Needham
April 27, 2019|Reading time: 3 minutes
This week we learn how graphs are being used to fight diabetes and we have an overhaul to the graph visualization tools page. Michael shares his favourite tips and tricks for using the Arrows graph modelling tool, Vinodh Subramanian shows… Read more →
Explore: APOC • arrows • graph algorithms • graph visualization • rabbitmq • triggers • twin4j
This Week in Neo4j – Content-Based Recommendations using Knowledge Graphs, Augment Intelligence with Graph Power, Graph Algorithms in Practice
By Mark Needham
April 20, 2019|Reading time: 3 minutes
This week we learn how to build a content recommendation system using knowledge graphs, augment business intelligence with graph power, and learn how to use BloodHound to assist with an analysis of password hashes from two different domains. Featured Community… Read more →
Explore: bloodhound • Global Graph Celebration Day • graph algorithms • knowledge graphs • nlp • Qlik Sense • twin4j
Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019|Reading time: 3 minutes
Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.
Explore: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics • spark
This Week in Neo4j – Graph Visualization 101 with GraphXR, Neo4j for Google Cloud, Introducing NEuler — The Graph Algorithms Playground
By Mark Needham
April 13, 2019|Reading time: 4 minutes
The big news in the Neo4j Community this week came from the Google Cloud Next 2019 conference.
Explore: docker • Google Cloud • Google Cloud Next • GRANDstack • graph algorithms • GraphXR • Neuler • twin4j • Typescript
What’s Next for Graphs: Neo4j for Google Cloud
By Bryce Merkl Sasaki
April 9, 2019|Reading time: 3 minutes
It’s official: To a sold-out crowd at Google Cloud Next ’19 today, we’ve formally announced a new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with the Google Cloud Platform. Now every GCP… Read more →
Explore: DBaaS • GCP • Google Cloud • Google Cloud Next • google cloud platform • graph algorithms • graph database • Kubernetes • Neo4j for Google Cloud • PageRank
Graph Algorithms in Neo4j: Graph Algorithms in Practice
By Jocelyn Hoppa
April 8, 2019|Reading time: 5 minutes
Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →
Explore: APOC • cypher • graph algorithms • Graph Analytics • graph model • importing data • neo4j • PageRank • real-time recommendations • yelp
This Week in Neo4j – Graph Apps Gallery Launched, Loading Bitcoin in one day, Link Prediction on Citation Network
By Mark Needham
April 6, 2019|Reading time: 4 minutes
The exciting news this week is that we launched the Graph Apps Gallery – a one stop shop where you can find all your favourite Graph Apps and discover new ones. Jennifer Reif wrapped up her series of posts on… Read more →
Explore: Bitcoin • Brexit • data science • graph algorithms • Graph App • graph database • graph technology • link prediction • Marvel Universe • Neo4j Desktop • twin4j
Graph Algorithms in Neo4j: Triangle Count & Clustering Coefficient
By Jocelyn Hoppa
March 25, 2019|Reading time: 4 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: Clustering Coefficient • community detection algorithms • cypher • global clustering • graph algorithms • Graph Analytics • intelligent solutions • local clustering • Louvain Modularity • Triangle Count
#GraphCast: Graph Analytics For The Throne [GoT]
By Bryce Merkl Sasaki
March 24, 2019|Reading time: 2 minutes
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if… Read more →
Explore: For The Throne • Game of Thrones • GoT • graph algorithms • Graph Analytics • GraphCast • Neo4j Online Meetup
Announcing Neo4j Labs: Incubating the Next Generation of Graph Developer Tooling
By Jocelyn Hoppa
March 21, 2019|Reading time: 2 minutes
As the Director of the Developer Relations engineering team, I couldn’t be more proud of the things we have achieved over the last few years. Our focus was to build integrations, tools and libraries that extend the Neo4j Graph Platform… Read more →
Explore: APOC library • data integration • Docker integration • GRANDstack • graph algorithms • Graph Analytics • GraphQL • indexing procedures • Neo4j Graph Platform • Neo4j Labs
Graph Algorithms in Neo4j: Louvain Modularity
By Jocelyn Hoppa
March 18, 2019|Reading time: 4 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: community detection algorithms • cypher • detecting communities • fraud analytics • graph algorithms • Graph Analytics • intelligent solutions • Louvain Modularity • neo4j • Social Networks
This Week in Neo4j – Neo4j Joins GraphQL Foundation as a Founding Member, Desktop Graph Analytics, Revamped Intro to Neo4j Training Course
By Mark Needham
March 16, 2019|Reading time: 4 minutes
This Neo4j community has had another busy week. We launched a revamped Intro to Neo4j online course, available for the bargain price of $0. Irfan Karaca and I had fun showing off Neuler – a Graph App that lets you… Read more →
Explore: graph algorithms • GraphQL • GraphQL Foundation • Kubernetes • neo4j training • Neuler • spatial • twin4j • Uber H3
Graph Algorithms in Neo4j: Label Propagation
By Jocelyn Hoppa
March 4, 2019|Reading time: 4 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • graph database • Knowledge Graph • label propagation • large-scale networks • neo4j
This Week in Neo4j – Correlating Tags in Stackoverflow, Football meets graphs, All About the Kafka Connect Neo4j Sink Plugin
By Mark Needham
March 2, 2019|Reading time: 4 minutes
This week Bea Hernández shared the slides from her talk at SatRDays on my favourite two topics – football and graphs! The Kafka connector that we’ve previously featured was released in the Confluent Marketplace, and Michael Hunger showed us how… Read more →
Explore: confluent • graph algorithms • Kafka • O'Reilly Book • stackoverflow • twin4j
Graph Algorithms in Neo4j: Weakly Connected Components
By Jocelyn Hoppa
February 25, 2019|Reading time: 3 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • intelligent solutions • Master Data Management • union-find • Weakly Connected Components
Graph Algorithms in Neo4j: Strongly Connected Components
By Jocelyn Hoppa
February 18, 2019|Reading time: 3 minutes
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Explore: community detection algorithms • Connected Data • cypher • graph algorithms • Graph Analytics • Graph Databases • intelligent solutions • Strongly Connected Components
Apache Spark Developers Have Voted to Include Cypher in Spark 3.0 [Update]
By Bryce Merkl Sasaki
February 15, 2019|Reading time: 4 minutes
The community vote by Apache Spark contributors has just closed – and the results are positive. Thank you to everyone who participated when we asked for your votes and feedback. As part of the preparations for a forthcoming Apache Spark… Read more →
Explore: apache spark • cypher • data integration • data science • graph algorithms • Graph Analytics • graph query language • Oracle • RDF • W3C