GraphNews

Earlier this year, we were fortunate enough to be contacted by Brian Keegan, Assistant Professor in Information Science at the University of Colorado Boulder, who specialises in the field of network analysis. Brian and his team were planning to mine the official biographies of every legislator pu

Machine learning algorithms don’t yet understand things the way humans do — with sometimes disastrous consequences.

The O’Reilly Data Show Podcast: Fabian Yamaguchi on the potential of using large-scale analytics on graph representations of code.

For a presentation at the Neo4j User Meeting in Tokyo I have converted the TeX Live Database into a Graph Database and represented dependencies between all kind of packages as well as files and their respective packages as nodes and relations. Update 20181010: I have worked out the first step…

ARLINGTON, Va. (PRWEB) June 21, 2018 Stardog, the leader in Enterprise Knowledge Graph technology, today announced that its Board of Directors has appointed former Opower executive Michael Sachse

OAKLAND, Calif. and VIENNA, Austria (PRWEB) September 10, 2018 Franz Inc., an early innovator in Artificial Intelligence (AI) and leading supplier of Semantic Graph Database technology, AllegroGr

There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to provide more transparen…

Having heard about the advantages of Scylla, IBM’s Open Tech and Performance teams conducted a series of tests to compare Scylla with HBase and Cassandra.

From a keynote presentation delivered at SEMANTiCS 2018 on 12 September 2018. See also the video of this talk at https://lnkd.in/gXxhaMD (starts at 15 minutes…

From a talk at the Data Architecture Summit in Chicago in 2018--reviews digital transformation and what deep transformation really implies at the data layer. C…

With the emergence of offerings on both AWS (Neptune) and Azure (CosmosDB) within the past year it is fair to say that graph databases are of the hottest trend…

Overview of the research domain and works of the joint research team Wimmics (UCS, Inria, CNRS, I3S) in Sophia Antipolis, France

We will present our use case for graph databases where we search for similar malware samples based on their behavior. As an anti-virus vendor, we analyze sever…

Knowledge graphs are used in various applications and have been widely analyzed. A question that is not very well researched is: what is the price of their pro…

The original Semantic Web vision foresees to describe entities in a way that the meaning can be interpreted both by machines and humans. Following that idea, l…

In this article, we’ll see a walk-through of Graph API integration with Azure Cosmos DB using the API.

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

We’re pleased to announce a major new release of Stardog that includes native support for unifying MongoDB data silos in Stardog.

Learn how to find similar items in the Knowledge Graph with machine learning.

We’re happy to announce release of Stardog Studio 0.1.0. Read on for the good stuff.

A knowledge graph is the only realistic way to manage enterprise data in full generality, at scale, in a world where connectedness is everything.

Prelude In December, I wrote a Quora post on the pros and cons of graph databases. I shared two cons pervasive in the market today: the difficulty of finding proficient graph developers, and how non-standardization on a graph query language is slowing down enterprise adoption,...

The time is ripe for an international standard graph query language. Industry vendors including Neo4j have called this out, and we at TigerGraph wholeheartedly agree. As graphs continue to see widespread adoption, we have certainly reached a tipping point for our industry. Still, it is...

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...

Recently RedisGraph published a blog [1], comparing their performance to that of TigerGraph’s, following the tests [2] in TigerGraph’s benchmark report [3], which requires solid performance on 3-hop, 6-hop, and even 10-hop queries. Multi-hop queries on large data sets are the future of graph analytics....

The Seattle giant’s cloud-computing business offers a look inside its model for expanding—even when it means moving in on allies’ turf. Some partners praise the unit’s chief for straddling the line between friend and competitor.

This video was recorded at Scala Days Berlin 2018 Follow us on Twitter @ScalaDays or visit our website for more information http://scaladays.org More information and the abstract can be found here: https://eu.scaladays.org/lect-6908-type-safety-in-the-world-of-graph-databases.html

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

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