GraphDB 9.10 features smart updates via SPARQL templates and Kafka as well as graph-path search optimizations

We have released the first free RDF triplestore on AWS Marketplace based on Apache Jena Fuseki. Give it a try – the installation takes 5 button clicks....

We believe that the future for cooperation in the construction industry is more based on data and not so much on files.

Dr. Alin Deutsch of UC San Diego explains in a Q&A why graph database algorithms will become the driving force behind the next generation of AI and machine learning apps.

Build and Analyze Graph Database with Neo4j

The first end-to-end clinical knowledge graph creation using Spark NLP and Neo4j.

Spectacular real-time simulation of complex physics through Neural Networks by a team from Google DeepMind! They do not use physics-informed neural ... 147 comments on LinkedIn

Memgraph, a real-time graph database provider, today announced that it has raised $9.34 million in seed funding led by Microsoft's M12.

With organizations struggling to manage growing amounts of data, Gartner predicts adoption of graph technology will increase exponentially by 2025.

Memgraph, the streaming graph application platform, today announced Memgraph 2.0, the public launch of its source-available platform, which makes it easy

Let’s analyze what is the best data model/structure for our data application. Finishing with the Graph model (NoSQL plus a bit of…

This pattern-driven visualization technique was presented at the Power BI Bootcamp in July 2021. The Bootcamp session walked through the…

Most demand forecasting algorithms are based on past consumption / offer pricing / safety stock etc. attributes. These algorithms do not fully model real-world...

One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Follow RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.

I’ve recently been playing around with a JDK data set, and with the release of Java 17 today, I wanted to explore this data set in a graph…

Data management strategy is boring, right? More to the point, it’s a solved problem. The relational model, SQL, and data warehouses date to the 1980s. I mean, what could be less strategic than the “what,” “how,” and “why” of an enterprise data management strategy? Build some pipelines and ETL jobs. Define a relational schema to…

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This article discusses why benchmarking is important, as well as compare and contrasts Neo4j’s 100TB demo with TigerGraph.

The Data Exchange Podcast: Paco Nathan on recent trends in large-scale graph technologies and novel applications of graph databases.

Stanford is proud to organize a workshop that  brings together leaders from academia and industry to showcase recent advances in Graph Neural Networks.... 45 comments on LinkedIn

Dr. Alicia Frame, director of graph data science at Neo4j, explains how graph technology could ameliorate the end of the third-party cookie

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

Types x Individuals, Instantiation x Specialization. These are among the most fundamental distinctions in Conceptual Modeling. Still, they seem to elude... 23 comments on LinkedIn

Very honored to have been invited by Jesús Barrasa Amy Hodler and Jim Webber to write the foreword for their book "Knowledge Graphs Data in Context for...

As data grows at an exponential rate, TigerGraph aims to make its graph database an attractive choice for data management because of its ability to scale.

🤖 A Python library for learning and evaluating knowledge graph embeddings - GitHub - pykeen/pykeen: 🤖 A Python library for learning and evaluating knowledge graph embeddings

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Noetic Cyber emerges from stealth with security monitoring using a graph database - SiliconANGLE

Graph Neural networks tutorial in Google Colab https://bit.ly/3yI9xBg #AI #DeepLearning #MachineLearning #DataScience...