Can GraphQL scale beyond workgroups or departments? Changes to Apollo GraphQL's federation gateway should make GraphQL better suited for enterprise scale adoption.

Let me tell you about ✨graph cellular automata✨ and why I am so excited about them: 1. Decentralized / emergent computation on graphs is a fundamental...

Joins play a pretty important role for defining the semantics of evaluating SPARQL queries even though they are not a part of the SPARQL syntax. One does not have to think about joins as long as their queries are restricted to basic graph patterns. However once more complex constructs appear in the query, their results are typically combined using the good old relational join operator. It has certain quirks, for example, in how it deals with nulls, and it's important to understand those to avoid result explosion and performance problems.

Bob Kasenchak discusses the uses and abuses of polyhierarchy. It is not a license to play fast and loose with the All-Some Rule.

Open Source Tool - Cybersecurity Graph Database in Neo4j - GitHub - amberzovitis/GraphKer: Open Source Tool - Cybersecurity Graph Database in Neo4j

ArangoDB, the commercial open source company behind the graph database system of the same name, has raised $27.8 million.

Memgraph 2.0 is here! We are finally source available and ready to tame your streams.

“Take a crash course on GraphQL, a tool for building APIs that's seeing rapid adoption. And Dgraph Cloud is the complete GraphQL platform to get you going."

The supply chain traceability graph solution implemented by Infosys uses the Azure Cosmos DB Gremlin API and other Azure services. It provides global supply chain track and trace capability for finished goods.

Beer Recommendation Engine with Graph Data

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...

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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