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...

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Neptune’s database engine is optimized for storing billions of relationships and querying with millisecond latency. The W3C’s Resource Description Framework (RDF) model and the popular Labeled Property Graph model […]

How the Semantic Web vision reincarnated in thousands of Linked Open Data datasets and millions of Schema.org tagged webpages

Exploring decentralized finance on the blockchain with a graph database

Learn how to combine Selenium and SpaCy to create a Neo4j knowledge graph of the Harry Potter universe

In the previous SPHERE news article focusing on the application of ontologies for digital twins of buildings, the importance of interoperability between data environments was stressed to reach a rich digital representation. In our philosophy, applications in the SPHERE ecosystem should always be replaceable to avoid vendor-lock in and to stimulate a best-of-breed approach. Such ... Read more

https://lnkd.in/eWj8SW2 How do graph databases work under the hood and how is this different from relational databases? In this, Will It Graph blog series...

While graph databases like Neo4j are schemaless by default, leverage the power of schemas in development by focusing on application driven graph schema design

Until very recently, the objects of common use such as wearable devices, cars, watches, refrigerators and health-monitoring devices, did not produce or handle d

he high-performance graph database solution provider, Ultipa, secures $21M in Series-A financing led by a well-known sovereign fund, and its angel investor, CM

This article is an introduction into a field of graph-based code analysis. We will discuss a base concept of graph-based code analysis and learn how to build a Codebase Knowledge Graph (or Code Knowledge Graph or simply CKG) for a .NET Core project using Strazh.

Vesoft Inc. is planning a new funding round that could bolster the Chinese graph database technology startup’s valuation to almost $1 billion, according to its founder and Chief Executive Officer Sherman Ye.

Fixing the talent pipeline so that finding rocket scientists doesn't have to be rocket science