Discover Neo4j Bloom, the latest product from the Neo4j team. This graph data visualization tool helps traditional Neo4j users communicate with their non-technical peers in a simple manner that reveals and explains the concepts of data connectedness for all people, regardless of technical background.

Discover a new way to visualize and explore your connected data with SemSpect: a unique approach to graph visualization that doesn't depend on using random or best-guess Cypher queries in order to explore your data's meta-graph and that is compatible with Neo4j (including RDF datasets).

Discover why your organization is a knowledge graph is essentail to build a competitive advantage with a graph dabase and machine learning algorithms.

Recent attention from the research community has helped foment a significant debate among knowledge representation experts: what are knowledge graphs?

Neo4j tunes its graph engine for AI applications - SiliconANGLE

Want more JanusGraph help? Here's part 1 of JanusGraph tips and tricks.

After the recent general availability for Storage Explorer, we also added new features in the latest 1.1 release to align with Azure Storage platform...

For the milestone of the 3.4 release, we’ve implemented a set of information retrieval features exposed via new database object View.

This release candidate is the first one with a cluster-ready ArangoSearch integration, the long awaited GeoJSON support and Google’s S2 Geo Index.

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

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…

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

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

The Graph Engine Service from Huawei Cloud is Apache TinkerPop enabled - yet another #graphdb to offer Gremlin support https://t.co/azSWcmDKUP pic.twitter.com/tnaUNORXSf— TinkerPop (@apachetinkerpop) July 18, 2018

New release of neosemantics for #neo4j is now available (3.4.0.2). It includes model mapping and microinferencing capabilities. Watch this space for examples of use... https://t.co/il4UuzC5zF #RDF— Jesús Barrasa (@BarrasaDV) October 10, 2018

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

New @ManningBooks early access book: "Graph-Powered Machine Learning" by Dr. Alessandro Negro @AlessandroNegro #MachineLearning #neo4j #AmazonNeptune #DataScience https://t.co/XpxZK3jw0g pic.twitter.com/xntecIh0Yh— John Dhabolt (@Dhabolt) October 17, 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

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

I just published the latest version of Practical Gremlin in all supported formats. Another substantial update. Please see the change history for full details. https://t.co/UNJzfsUg3s … … https://t.co/mXGaOEe3q6 … … https://t.co/7YtyD2xQuR … … @apachetinkerpop @JanusGraph pic.twitter.com/EcokGbuwMN— Kelvin Lawrence (@gfxman) May 29, 2018

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

Using @neo4j to analyse the madness that is Javascript package dependencies for my upcoming @ACCUConf talk. This is the dependency graph for what `create-react-app` spits out. Seems 4K isn’t enough to get it all in view at once :S pic.twitter.com/MPjmN7yKx4— I, Dom Davis (@idomdavis) April 3, 2018

The work from @SDA_Research member @Harsh9t and @dharmenpunjani on converting SPARQL queries to Gremlin path traversals has been integrated into the popular Apache Tinkerpop framework (master branch): https://t.co/XEctJ6Q6A5 - you can now run #sparql queries in @apachetinkerpop!— Jens Lehmann (@JLehmann82) August 17, 2018

I usually mention both as unique/key features of RDF: global identifiers and zero-cost merge— Martynas Jusevicius (@namedgraph) June 8, 2018

Why companies are turning to Graph? Jonathan Lacefiled from @DataStax gives us 4 main reasons: query performance, flexibility in data access, recency in data updates and visualization of patterns. #saegusmeetup pic.twitter.com/qsCtUEpvdk— Saegus conseil (@saegus_france) May 23, 2018

“Which #RDF graph partitioning technique gives better performance in cluster triplestore? checkout our empirical evaluation of RDF graph partitioning techniques in different architectures. https://t.co/wRlrR8lOSa #EKAW2018 #BigData”

Super excited! Our work on explaining knowledge graph relationships has been judged as the best paper at @iswc2018. Thanks to the reviewers who gave extremely valuable suggestions to improve our work. #iswc_conf https://t.co/lNMOdsIQFi#ibm @IBMResearch— Sumit Bhatia (@sbhatia_) October 12, 2018