Given a set of business entities such as two merchants for financial services or two doctors for healthcare, how are they related? Do they have customers or patients in common and how is their relationship evolving over a period of time?

This post presents the ecosystem of graph visualization. Read on to find the full list of graph visualization software and graph visualization libraries.

How to calculate TF-IDF in @Neo4j using only Cypher. TD-IDF is used in an #NLP pipeline to calculate the importance of a term within a document compared to a set of documents as a whole.Say you have a model of (:Document)-[:MENTIONS]->(:Term)1/— Adam Cowley (@adamcowley) April 6, 2019

does it support reverse direction edges?— Dan Brickley (@danbri) March 18, 2019

The SPARQL 1.2 Community Group has been launched. They are looking for members to help with the new spec. Go on over and take a look.#sparql #w3c #webstandardshttps://t.co/THjGsaEoTN— Saveoney Software Consultants (@saveoney) April 2, 2019

Refinitiv ( Former Financial and Risk Business of Thomson Reuters) uses SHACL. Our Metadata Registry is entirely made from SHACL models. Additional shacl files to enforce conformance with our URI strategy, provenance standards and smaller data patterns etc.— Varitimou Natasa (@nvaritimou) April 1, 2019

“We are also releasing the first published embeddings of the full @Wikidata graph of 50M Wikipedia concepts, which serves as structured data for use in the AI research community. The embeddings can help other researchers perform machine learning tasks on Wikidata concepts.” https://t.co/1nqwaJvD8d— Dario Taraborelli (@ReaderMeter) April 3, 2019

Facebook AI has created and is now open-sourcing PyTorch-BigGraph (PBG), a tool that makes it much faster and easier to produce graph embeddings for extremely large graphs.

I realized that I needed to know what the constituent parts of data models really are. Across the board, all platforms, all models etc. Is there anything similar to atoms and the (chemical) bonds that enables the formation of molecules?

When developing web applications with frameworks like Vue.js the best approach is to subdivide it into well-defined and reusable components for the user...

TigerGraph 2.4 Enables Enterprises to Discover Deep Insights Missed by Competing Graph Databases

Joshua Shinavier from Uber coming up with a broad definition of knowledge graphs #us2ts2019 pic.twitter.com/0LbMMJQP6S— Gaurav Vaidya (@mrvaidya) March 11, 2019

How graph databases can be used to explore and analyse the decentralised XRP ledger, focusing on exploring networks of fraudulent accounts and distribution patterns.

My thoughts on the future of @apachetinkerpop.I believe:Apache TinkerPopA Graph Computing Frameworks==should become==>Apache TinkerPopA Distributed Computing Virtual Machine and Languagehttps://t.co/Z5BKnewpS0 #graphdb #nosql pic.twitter.com/yX2wvoRaYQ— Marko A. Rodriguez (@twarko) February 26, 2019

Hey Dan, thanks for the ping. First of all, I'll point y'all to a related thread a few weeks ago... https://t.co/haTtBJfAhA 1/24— Aaron Bradley (@aaranged) February 25, 2019

In social network analysis, a conventional approach relies heavily on available metadata, allowing to match a virtual entity (social network account) to...

Trace the safety information throughout the entire drug development lifecycle in a single intelligent system with Ontotext's solution.

Boettiger, (2019). Ecological Metadata as Linked Data. Journal of Open Source Software, 4(34), 1276, https://doi.org/10.21105/joss.01276

Augmented analytics tools, NLP search and graph analytics are the top trends for 2019 and beyond. Experts say augmented analytics and NLP are transforming how enterprises consume data and derive in...

If we wish to foresee the future of mathematics, our proper course is to study the history and present condition of the science. Henri…

Graph databases and document databases make up a subcategory of non-relational databases or NoSQL. NoSQL databases were created to get a handle on large amounts of messy Big Data, moving very quickly. Managers use the non-relational toolkit to gain business insights and detect patterns in information on the fly, as Big Data streams into the system. Many companies, especially those with a large web presence like Google, Facebook, and Twitter, consider NoSQL databases a must-have.

Happy to share what the Property Graph Schema Working Group has been working on for a few months. Slides https://t.co/7TzSMPobnqIndustry Survey https://t.co/MdfK1fL2wiUse Case & Requirements https://t.co/4ZuCy6zT6ZAcademic Survey https://t.co/J7rZYioIHG #W3CGraphWorkshop— Juan Sequeda (@juansequeda) March 4, 2019

With our semantic chatbot, semantize your data without even having to understand what data semantization is!

Cypher for Gremlin adds Cypher support to any Gremlin graph database. - opencypher/cypher-for-gremlin

Where we are and where are we headed #W3CGraphWorkshop pic.twitter.com/gdKPx9e77l— Harsh Thakkar (@Harsh9t) March 6, 2019

“My interpretation of the W3C Graph Workshop wrap-up session today in Berlin. Sorry for the ones I left out, I focus on the ones I participated/understood, mostly around RDF. Feel free to contribute! Sessions/minutes are linked here: https://t.co/P3oV4Xshwr #W3CGraphWorkshop 👇”