Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.

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Predictive Analysis from Massive Knowledge Graphs on Neo4j

David Bader, GA Institute of Tech, explains how predictive graphs are implemented to detect patterns of linked data as well as anticipate new breakthroughs.

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This Week in Neo4j – Bloom 1.2.0 Released, Knowledge Graphs in Action, Food Allergen Graph

Hi graph gang, GraphTour 2020 gets underway this week with the first stop in Amsterdam on 4th February 2020. There’ll be someone from the Developer Relations team at most of the events, so don’t forget to come and say hi.… Read more →

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Graphs to Fight Diabetes

Discover how Neo4j graph databases contribute to the study, understanding, prevention and treatment concerning diabetes with Alexander Jarasch from DZD.

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The Top 7 Neo4j Videos of 2019

In lieu of our bi-weekly #GraphCast, we thought we would share some of the best Neo4j videos from 2019. Consider this an almost-New Year’s Eve celebration of all things video. (No order or favorites here. Just cool videos in a… Read more →

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This Week in Neo4j – SDN-RX, Kafka, Bloom, Flight Search, Visualizing with GraphXR, Music Connections, Graph Versioning

Hello my fellow graph fans, We’re almost at winter solstice and all the other celebrations commencing these weeks. To give you some material to have fun with during that time, this weeks issue is pretty packed. In this week’s video… Read more →

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This Week in Neo4j – Schema-Based Security, Starwars Galaxy Graph, Querying Wikidata

Hi graph gang, In this week’s video from the NODES 2019 conference, Louise Söderström explains schema based security in Neo4j 4.0. Jorge Albarrán uses Neo4j to explore the Starwars Galaxy, Jesús Barrasa enriches a knowledge graph with Wikidata, and Eric… Read more →

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Demographics Master Data at Citigroup

Walter Trotta explains how graphs help him and Citibank dive deeply into demographics master data and what they get from this information.

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This Week in Neo4j – Building a Fashion Knowledge Graph, Carrefour Basket Dataset Challenge, Community detection on Game of Thrones, Analysing Network Traffic

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 →

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Graph Hyper-Growth Ahead: 5-Minute Interview with Kyle McNamara

Check out this 5-minute interview with Kyle McNamara, CEO, Americas at GraphAware, about how GraphAware works alongside Neo4j.

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This Week in Neo4j – Graphs, AI, and ML: Q&A with Alicia Frame, Finding prices with Neo4j, Building a Knowledge Graph

This week Wolfgang Hoeck teaches us how to build a knowledge graph from scratch, and we have new releases of the Graph Algorithms Library. Dr Alicia Frame is interviewed about Graphs, AI, and ML, Nathan Smith solves the market clearing… Read more →

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Super (Data) Model: Graphing “RuPaul’s Drag Race”

It’s that time of year, y’all… “RuPaul’s Drag Race” is back! At least in the UK… and, at least, that’s what I’ve been told. I’m a newcomer to the “Drag Race” party, you see. I’ve always liked RuPaul but, in… Read more →

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Turning Data Into Actionable Knowledge: 5-Minute Interview with David Meza

Check out this 5-minute interview with David Meza, Chief Knowledge Architect at Johnson Space Center, about how Neo4j has helped NASA.

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Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft

Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.

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This Week in Neo4j – Kafka Streams Graph Processing, GRANDstack Football Transfers, Spring Data Neo4j RX, Role Based Access Control In Neo4j 4.0, Learning Cypher, and More!

This week we have a look at using Neo4j with Kafka Streams, how to build a GRANDstack application to analyze football transfers, a beta release of Spring Data Neo4j RX, a guide for learning Cypher in 30 minutes, an overview of the new role based access control features coming in Neo4j 4.0, a look at NLP with graphs, a guide to knowledge graphs.

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Accelerating Towards Natural Language Search with Graphs

Learn how graphs are used for natural language processing, including loading text data, processing it for NLP, running NLP pipelines and building a knowledge graph.

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AI & Graph Technology: AI Explainability

Read the fifth and final installment of our blog series on artificial intelligence and the ways AI explainability adds context for credibility.

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AI & Graph Technology: Connections Improve Accuracy

Read the fourth installment of this blog series on artificial intelligence on the ways connected feature extraction analyzes data.

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Visualizing This Week in Tech

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

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AI & Graph Technology: How Graphs Accelerate Machine Learning

Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.

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AI & Graph Technology: What Are Knowledge Graphs?

Read the second installment of this blog series on artificial intelligence on the ways knowledge graphs add context for decision support.

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Solving Real-World Problems: 5-Minute Interview with David Bader

Check out this 5-minute interview with David Bader, professor and chair of the School of Computational Science and Engineering, at Georgia Tech.

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Toward AI Standards: Context Makes AI More Reliable and Trustworthy

Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.

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Transforming Health Information Technology with a Knowledge Graph

Learn how graph technology aids with the efficiency of electronic data entry in the healthcare industry, featuring vascular surgeon Christopher Wixon.

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Liberating Knowledge: Machine Learning Techniques with Neo4j

Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.

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