#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
Graph Algorithms in Neo4j: Closeness Centrality
By Jocelyn Hoppa
February 11, 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: centrality algorithms • closeness centrality • cypher • graph algorithms • Graph Analytics • graph database • Graph Search • intelligent solutions • neo4j • shortest paths
DeepWalk: 5-Minute Interview with Dr. Steven Skiena
By Jocelyn Hoppa
February 8, 2019|Reading time: 4 minutes
“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: 5-minute interview • data science • DeepWalk • Dr. Steven Skiena • graph algorithms • graph embedding • machine learning • Social Networks • Stony Brook University • word2vec
Graph Algorithms in Neo4j: Betweenness Centrality
By Jocelyn Hoppa
February 4, 2019|Reading time: 5 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: betweenness centrality • centrality algorithms • cypher • Genomics • graph algorithms • Graph Analytics • Graph Search • shortest paths
This Week in Neo4j – Build a just-in-time data warehouse with Neo4j Streams, Releases of Graph Algorithms and Neo4j Desktop, Stored Procedure Masterclass
By Mark Needham
February 2, 2019|Reading time: 4 minutes
Welcome to the I can’t believe it’s already February edition of This Week in Neo4j. This week we have five (FIVE!) releases of different projects in the ecosystem, including the Neo4j Desktop, Graph Algorithms Library, and a brand new Python… Read more →
Explore: graph algorithms • Java Stored Procedures • Neo4j Desktop • py2neo • spring boot • Time-Based Versioned Graphs • twin4j
Graph Algorithms in Neo4j: Degree Centrality
By Jocelyn Hoppa
January 28, 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: centrality algorithms • cypher • Degree Centrality • graph algorithms • Graph Analytics • graph database • Graph Search • PageRank • pathfinding • social network
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 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: centrality algorithms • cypher • graph algorithms • Graph Analytics • graph search algorithms • Larry Page • machine learning • PageRank • Twitter analytics
This Week in Neo4j – Topic Extraction with Graphileon, Neo4j 3.5 FTS Deep Dive, Neo4j for Very Large Scale Systems
By Mark Needham
January 19, 2019|Reading time: 4 minutes
Welcome to the 3rd edition of This Week in Neo4j for 2019. We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5,… Read more →
Explore: full-text search • graph algorithms • graphileon • machine learning • Marvel Universe • owl • RDF • spring data neo4j • topic extraction • twin4j
Apache Spark + Cypher: We Need Your Feedback & Votes
By Bryce Merkl Sasaki
January 18, 2019|Reading time: 2 minutes
Editor’s Note: Alastair Green (Neo4j Query Languages Lead) and Martin Junghanns (Neo4j Cypher for Apache Spark project) will be speaking at the Spark + AI Summit in San Francisco this April. Want to Extend the Graph Capabilities of Spark? Let’s… Read more →
Explore: apache spark • cypher • Cypher for Apache Spark • Databricks • GQL • graph algorithms • graph query language • GraphFrames • spark • Spark + AI Summit
A Journey to the Graph Side: How (& Why) the Former CTO of MariaDB Joined Neo4j [Interview]
By Bryce Merkl Sasaki
January 15, 2019|Reading time: 7 minutes
If you don’t know anything about MariaDB – and you’re reading a database blog remember – then you’re the exception. In 2018, MariaDB was the second-fastest-growing relational database (behind Postgres) and is a leading example of commercially supported open source… Read more →
Explore: 5-minute interview • cto • graph algorithms • graph database • graph technology • MariaDB • MySQL • neo4j • open source • rdbms • relational database
Graph Algorithms in Neo4j: Minimum Weight Spanning Tree
By Jocelyn Hoppa
January 14, 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: cypher • graph algorithms • Graph Analytics • graph database • Graph Search • Minimum Weight Spanning Tree • neo4j • pathfinding • telecom
This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph
By Mark Needham
January 12, 2019|Reading time: 4 minutes
We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… Read more →
Explore: amazon alexa • dimensionality reduction • graph algorithms • graph layout • Halin • Knowledge Graph • machine learning • Marvel Universe • monitoring • twin4j
Graph Algorithms in Neo4j: All Pairs Shortest Path
By Jocelyn Hoppa
January 7, 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: All Pairs Shortest Path • call routing • cypher • disease spread • graph algorithms • Graph Analytics • Graph Search • neo4j • network failure • pathfinding
Graph Algorithms in Neo4j: Single Source Shortest Path
By Jocelyn Hoppa
December 17, 2018|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: cypher • Dijkstra's algorithm • graph algorithms • Graph Analytics • Graph Search • Open Shortest Path First • pathfinding • shortest path • Single Source Shortest Path • telecom
This Week in Neo4j – Crime Investigation Sandbox, GraphQL to Cypher transpiler for the JVM, Exploring Yelp with Graph Algorithms
By Mark Needham
December 15, 2018|Reading time: 4 minutes
Welcome to This Week in Neo4j where I share the most interesting things I found in our community over the last seven days. This week Will and I previewed the Applied Graph Algorithms training, Joe Depeau launched the Crime Investigation… Read more →
Explore: cypher • GRANDstack • graph algorithms • graph modeling • GraphQL • jaccard • Neo4j Community • POLE • stackoverflow • twin4j
Graph Algorithms in Neo4j: Shortest Path
By Jocelyn Hoppa
December 10, 2018|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: cypher • Dijkstra's algorithm • Google Maps • graph algorithms • Graph Analytics • Graph Search • pathfinding • shortest path • Social Networks • web mapping tools
#GraphCast: Graph Algorithms & Game of Thrones
By Jocelyn Hoppa
December 9, 2018|Reading time: 1 minute
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael… Read more →
Explore: data analysis • Game of Thrones • graph algorithms • graph database • GraphCast
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