What’s advancing the world of graph databases, and what’s slowing us down?

Water networks are graphs. And, if poorly designed, vulnerable. Storing their topology in a #graphdatabase helps identifying components & weaknesses. This @graphileon demo was built on top of #neo4j, without writing any code. #lowcoding #YourAppIsAGraphhttps://t.co/2WW3YCRQwF pic.twitter.com/bJ9pYjRTkt— Graphileon (@graphileon) September 12, 2020

In this week's #twin4j, @adamcowley hows us how to build a Knowledge Graph from our Slack archiveshttps://t.co/isibvvCAZ0#neo4j pic.twitter.com/BCm6o0fcNd— Neo4j (@neo4j) September 12, 2020

Speaking of personalized knowledge graphs....Knowledge Graphs to Empower Humanity-inspired AI Systems @hemant_pt, Valerie Shalin, @amit_p https://t.co/7gYiAxNHhU pic.twitter.com/bVccm8IxCK— Aaron Bradley (@aaranged) September 16, 2020

This "Load balance graph queries using the Amazon Neptune Gremlin Client" blog post is a nice body of work covering a more advanced topic than is typically seen in the TinkerPop community. https://t.co/4mJVRxENwL #graphdb pic.twitter.com/d94tOwUaQB— stephen mallette (@spmallette) September 17, 2020

The ICIJ used Neo4j to expose a vast money laundering network running through Western banks. This blog analyzes the FinCEN Files data.

"#Neo4j announced a Knowledge Graph Quick Start program to support the company’s rapidly growing knowledge graph customer base."Learn more about the Knowledge Graph Quick Start program: https://t.co/Bnqo6O9hbW#knowledgegraphs #neo4j #graphtechnology— Neo4j (@neo4j) September 24, 2020

Community detection by label propagation using @graphileon and built-in #graphalgorithms in @Neo4j. A demo (https://t.co/zdY3wnc4YC), and why we think that #YourAppIsAGraph is the new way of building graphy applications. @nodejs #lowcoding. pic.twitter.com/YzBP3vCE2D— Graphileon (@graphileon) September 24, 2020

In the intricate play b/n #metadata, #ontologies & #textanalysis, each has an important role in capturing the multiplicity & complexity of data relationships. When we talk about #semantics & #knowledgegraphs, this is what we mean. https://t.co/0LznDdGry6— Ontotext (@ontotext) September 24, 2020

“How do you select a graph database? Learn how in @itworldca. Read here: https://t.co/Z529PWdeW6 | #GraphDatabase #GraphDB #GraphAnalytics #DataScience #Developer #Analytics #BigData”

New blog entry: Using SPARQL do to quick and dirty joins of CSV data https://t.co/BVvuY4Xlhv— Bob DuCharme (@bobdc) September 27, 2020

@AllianzBenelux - "we’ve made €2m profit using graph technology"Read @diginomica's full story here: https://t.co/BByFtdRRyq#Neo4j #GraphDatabases #FraudDetection #FinTech— Neo4j (@neo4j) September 25, 2020

TopQuadrant CEO, Irene Polikoff, provides an overview of the two main graph models along with illustrations of their similarities and differences in graph diagrams in Part I of II in this article series from @TDAN_com https://t.co/CxOrTb3ELL#knowledgegraphs #datagovernance— TopQuadrant (@TopQuadrant) September 25, 2020

The discussion on personal #knowledgegraphs is gaining traction. @kurt_cagle had it listed among other most common use cases for knowledge graph application: https://t.co/jLpqZOWJjrhttps://t.co/xxjnlAtti2— Ontotext (@ontotext) September 25, 2020

I'll be discussing "Graph Queries with Gremlin Language Variants" at the Category Theory and Applications group meetup on October 6: https://t.co/MG1HpNEiGd Be prepared to see Gremlin in many different forms! #graphdb pic.twitter.com/OIOsfLvWze— stephen mallette (@spmallette) September 28, 2020

⭕ Insightful Reading: "Semantic #KnowledgeGraphs Soar To The Fore Of #AI" v/@AITimeJournal #BigData #Analytics #DataScience #ML #IoT #IIoT #Python #RStats #TensorFlow #javascript #reactjs #CloudComputing #Linux #programming #coding #Industry40https://t.co/1GQw3IgRUa pic.twitter.com/aCnCY0NCJn— Bomoi Abdulmajid (@Bomoimajid) September 24, 2020

In this blog post, we explore how the performance of Memgraph as evolved across version from v0.15.2 to v1.1.0 and discuss how we were able to reduce memory usage by as much as 50% and improve throughput towards near-linear scalability.https://t.co/R8XTh520CK— Memgraph (@memgraphdb) October 1, 2020

We’re proud to announce that Stardog is joining the Enterprise Knowledge Graph Foundation as a founding vendor member. Read on if you want to learn who, what, and why.

In Deliberate Internet 27 I focus on the new wave of note-taking apps and explain why they are all sprouting now.

Discover the endless possibilities of the NSMNTX plugin on RDF data, linked data and more with Neo4j Engineering Director Jesús Barrasa.

Check out this interview with Charlie Beveridge from Accenture on navigating the future of artificial intelligence with knowledge graphs.

Get this introductory book on graph databases to learn the basics of the fastest-growing database technology and get started on your own graph project.

Ontotext has released the 9.4 version of GraphDB with the main objective to lower the cost of creating and consuming knowledge graphs. Read further.

Using Python to create a graph in Neo4j based on real-world trade data we derive insights around trading behavior of different regime types

Apple Search Starts with Siri Search In 2012, I wrote about the Apple Siri Patent application. The patent I wrote about was Intelligent Automated Assistant. In coming out with Siri, an automated assistant, Apple was creating something much more complex than just a search engine. As the patent filing says: Unlike search engines which only […]

Just launched TerminusHub on Hacker News. Would really appreciate upvotes - in the 'Show HN' section. TerminusHub, Revision Control for Structured Data...

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