Image taken from wikipedia, Couple of days ago I was presenting “How to use similarity algorithms” in a Neo4j online meetup with Mark Needham. Among other use-cases we discussed how the…

So can any SemWeb gurus explain to me what the difference is between SHACL and ShEx? If SHACL is an official W3C recommendation, why use ShEx? Why is effort being split on this? Not a criticism at all, but a genuine question as I'm new to all this and only familiar with SHACL.— Bryan J. Brown (@bryjbrown) November 26, 2018

Discover what's new in the 3.5 release of the Neo4j graph database, including a Go language driver, full-text search and indexing, TLS encryption and more.

Today we want to make this available in a first release under an Apache License for you to try out and test. It works with Neo4j from 3.4.x

Am I the only one who thinks there's nothing really wrong with the #RDF stack?To me it's such a powerful technology that 20 years in we're still exploring what it is capable of. To do that, we need to throw out the old software design paradigms and think graph- and Web-native.— Martynas Jusevicius (@namedgraph) November 27, 2018

Interesting piece. Many seem to be feeling around blindly for the next unicorn, when new value from data is being created and discussed openly by companies who blend statistical and knowledge modeling. Some examples: https://t.co/V3QCVLSmBT https://t.co/aOvQnYz1XV— Alan Morrison (@AlanMorrison) November 17, 2018

Whether you’re creating a new graph data model and queries, or exploring an existing graph dataset, it can be useful to have an interactive query environment that allows you to visualize the results. In this blog post we show you how to achieve this by connecting an Amazon SageMaker notebook to an Amazon Neptune database. […]

Gremlin is one of the most popular query languages for exploring and analyzing data modeled as property graphs. There are many…

If you find https://t.co/XZ7CIl9C8r interesting, knowledge graphs the next generation of search, & linked data a place where the web becomes a very useful database, you might want to check out this new site from the creators of https://t.co/XZ7CIl9C8r: https://t.co/bhnxXR1grI— Bill Slawski ⚓ (@bill_slawski) October 18, 2018

Old-school symbolic AI is sneaking back into modern machine learning AI, and the heritage of triples-based inferencing shows through in some of it. Nice short presentation by Imperial College London's Marta Garnelo: https://t.co/4nelxJmsYu pic.twitter.com/fSftB5Tqr9— Bob DuCharme (@bobdc) June 24, 2018

New blog entry "Extracting RDF data models from Wikidata". https://t.co/B5iWE4zWN7— Bob DuCharme (@bobdc) November 18, 2018

Interactive visualization of the Gremlin graph database with D3.js - bricaud/graphexp

by Dr. Xu Yu, CEO and Dr. Victor Lee, Director of Product Management [Excerpted from the eBook Native Parallel Graphs: The Next Generation of Graph Database for Real-Time Deep Link Analytics] Until recently, graph database designs fulfilled some but not all of the graph analytics...

The following document was prepared by Stefan Plantikow (Neo4j Cypher language designer). It compares the three closely-related languages, PGQL, Cypher and G-CORE, which The GQL Manifesto proposes to be fused into a new standard GQL language, exploiting the very heavy overlap of their current and intended functionality. There are clickable links to the specs/papers that describe […]

Watch the GraphConnect presentation by Dom Davis, cofounder of Tech Marionette, to discover the benefits of building a meta graph model for your domain.

In this post, we look at how we can fight cyber fraud with real-time graph analytics, including things like identity theft, account takeover, and more.

Sorry, @neo4j, but I gotta ask. What's wrong with #sparql? pic.twitter.com/JkrF7uck6V— Florent Georges (@fgeorges) May 15, 2018

I think graphs are the correct mental model and API for deep learning -- but not graph of ops like a TF graphdef, instead, graph of layers. Recursive graphs of high-level building blocks.Which is also how deep NNs are visualized in pretty much every paper or textbook ever...— François Chollet (@fchollet) November 15, 2018

Graph analysis is not a new branch of data science, yet is not the usual “go-to” method data scientists apply today. However there are some…

Version 0.1 — like skyscanner but for code

Google Groups allows you to create and participate in online forums and email-based groups with a rich experience for community conversations.

Discover how the super nerdy math of graph theory and predictive modeling is also driving bottom-line business growth – including definitions and examples.

Stardog 5.1 adds support for GraphQL, an expressive path query SPARQL extension, and stored functions.

Same neo4j linear regression procedures, now unlimited independent variables! More functionality without additional complexity for the…

At long last! With this, we aim to bridge the gap between semantic web and graph database communities. Happy graph-querying! https://t.co/8al1uLi1aC— Harsh Thakkar (@Harsh9t) August 17, 2018

Index-free adjacency is the most important concept we need to understand when learning about native graph databases. Native graphs have…

Real-world data is naturally connected. Learn how to create graph database applications on Azure Cosmos DB and explore the different solutions that it provides to common data scenarios in the enterprise. We will also cover customer cases that currently leverage graph databases in their day-to-day workloads. Create a Free Account (Azure): https://aka.ms/azft-cosmos