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

Commentary: Relational databases aren't dead, but database innovation is cropping up in all sorts of places now, including graph databases.

Fridays give away! Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithms. Like and comment ... 75 comments on LinkedIn

Learn how to visualize your intellectual property protection holistically to discover the gaps and evaluate their effects on dependent products and revenues.

Knowledge technologies and semantic standards are changing the nature of data management – but the issues, obstacles and use cases that define the industry are often described in anecdotal terms. To address that information gap, the Knowledge Graph Conference commissioned this study to begin to quantify the size, dynamics and direction of the industry.  We hope you find the report and our extended analysis useful.

Winners of the OGB-LSC graph machine learning challenge have just been announced at https://lnkd.in/dP83-fV Congratulations to the winning teams from Baidu...

Visualizing graphs is hard. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk.