THREAD - how you can do crazy cool things with @Neo4j and Graph Data Science (GDS). This thread is going to be a walk-through example of what you can do, and how you can even found a startup on the back of this stuff.First, some background on my data: pic.twitter.com/aT6enmV5SC— 𝔻𝕒𝕧𝕚𝕕 𝔸𝕝𝕝𝕖𝕟 (@mdavidallen) February 23, 2021

Tracing the triumphs and challenges of two decades of Semantic Web research and applications.

Basic Introduction to what Graph Analytics is…

Graph databases are the fastest-growing category in all of data management. Here's how to pick one.

The Stardog 7.6.0 release can load data at million triples per second speed.

Read about how knowledge graphs can unlock meaning and thus create a smart future-proof living repository of scientific data and its relationships.

Learn what graphs, the graph theory, and graph databases are in this week’s #GraphCast, featuring two slick videos explaining these concepts.

This blog highlights some of the new automation features that Cambridge Semantics is building into our scalable knowledge graph platform - Anzo.

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The Future is Big Graphs! A very worthwhile read on the impact big graphs will bring to data processing pipelines. https://lnkd.in/gww-KSw...

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Although artificial intelligence capabilities are improving daily, it is not always easy to put the AI rubber on the road – especially when it comes to understanding AI’s contextual data and problem-solving approaches. How about bringing in some “real” intelligence? Graphs are a typically human way

The largest funding round to date in the graph market is good news not just for TigerGraph, but for the market at large

Knowledge graphs: The secret of Google Search and now XDRhttps://t.co/kZOvSz3Kke#Infosec #Security #Ceptbiro #Cybersecurity #KnowledgeGraphs #GoogleSearch #XDR— Rene Robichaud (@ReneRobichaud) February 17, 2021

Graph database advantages are abundant, which is why enterprise adoption has trended upward the past few years. Check out what the top advantages are to organizations.

The Growing Importance of #MetadataManagement: https://t.co/p44BXJW6y5 ——————#BigData #DataScience #AI #MachineLearning #MDM #DataGovernance #DataManagement #DataStrategy #DataLiteracy #Metadata #DataCatalogs #KnowledgeGraphs #LinkedData #Provenance #DataLineage #DataDiscovery pic.twitter.com/fPjoC89H47— Kirk Borne (@KirkDBorne) February 9, 2021

As Organizations Accelerate Their Digital Strategy, New and Existing Customers Turn to Neo4j to Address Critical Business Challenges

In this week's #twin4j, @tb_tomaz create a news monitoring data pipeline using Natural Language Processing and a Knowledge Graph.https://t.co/mIsm7Uj4iL #neo4j pic.twitter.com/XSQsQYhNzf— Neo4j (@neo4j) February 7, 2021

Working on part3 of #Wordnet in #Neo4jhttps://t.co/5qcL0LWtoB#python + #nltk + cypher for "similar phrase generation" following graph pattern entry>sense>concept and extending it w. hyper/hyponym to make general/specificmore specific variants of data? metadata,raw data...👌 pic.twitter.com/BMcOPbaub3— Jesús Barrasa (@BarrasaDV) February 8, 2021

One of the great things about the database market is that there are many different kinds of data and the problems that need to be addressed to store,

Marvel gangs: Nice network graph of links among #MCU heroes. Six gangs centered on #CaptainAmerica (most central in MCU), #Thor , #SpiderMan , #HULK, #FantasticFour and X-Men. Lots of overlap, especially between Cap, Tony Stark and Thor. Data at Kaggle. https://t.co/v5uqSAaIxK pic.twitter.com/xDfBEQS6og— Dan Armstrong (@Fuertebrazos) February 9, 2021

A Knowledge Graph for the Agri-Food Sector @rapw3k https://t.co/Uko5uhcg2F— Aaron Bradley (@aaranged) February 1, 2021

https://t.co/SfPYXk7kjv is an easy yet beautiful tool for modeling graphs. Try modeling your next brainstorming session or entity relationship diagram into a graph and see how it feels.Homepage: https://t.co/1JVSaaihnuKudos @neo4j for updating this community tool. pic.twitter.com/8s8sdcg4zv— John Kary (@johnkary) February 2, 2021

Gram is a textual format for data. We have CSV for tables, JSON for documents, and gram for data graphs.