GraphNews

This article, the first in a series, introduces and defines the concept of a knowledge graph. It highlights its origins and basic characteristics.

An increasing number of cities are creating 3D city models to support visualization and simulations in the urban planning process. The 3D city models...

In this publication, Amazon scientists propose a hierarchical graph neural network (GNN) model that learns how to cluster a set of images into an unknown...

For some reason I keep hearing the word "upper ontology" more frequently in recent times. I find this problematic, because in many of the contexts I hear about it, it is introduced as a kind of secret sauce that 20 years of Semantic Web research have been hiding from the greater public.

10/18/21 - We propose a novel class of graph neural networks based on the discretised Beltrami flow, a non-Euclidean diffusion PDE. In our mo...

ANNOUNCEMENT: Aaron Bradley - knowledge graph strategist at Electronic Arts (EA) – joins the Trace Labs advisory board to advise the team on strategies...

And if you do there's a simple way to prove it.

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.

Why is your organization struggling to #collaborate ? Leaders can diagnose team dysfunction by looking for six common patterns. Read 👇🏽 https://lnkd.in...

We are excited to announce that we are running an online panel this November where will explore the foundations of why graphs are the right tool for complexity...

Mike Tung on the problems with search and the future of knowledge representation

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.

Mike Tung on the problems with search and the future of knowledge representation

Build and Analyze Graph Database with Neo4j

Our new paper is out! ⚛️🎉 "3D Infomax improves GNNs for Molecular Property Prediction": https://lnkd.in/dKsTjSfj Code to pre-train your own GNN is available...

Ein Knowledge Graph als moderne Form der Datenarchitektur. Gäste werden künftig zunehmend auch sprachbasiert nach Informationen suchen. Die Sprachanfragen werden also mittels Diktierfunktion auf dem Smartphone eingesprochen oder in Form von Fragen an digitale Assistenten wie den Google Assistant oder Alexa von Amazon gerichtet. Bei der

Excited to share that our Open Graph Benchmark Large-Scale Challenge (OGB-LSC) paper has been accepted to NeurIPS! We have updated our datasets and released...

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

The framework achieves great coverage and performance across different incident triaging scenarios, and also outperforms other state-of-the-art root cause analysis methodologies.

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

The Pandora Papers leak includes a colossal 2.94 terabytes of data. Unravelling the contents was no easy task

Click to learn more about author Thomas Frisendal. Many of us have a lot to do. And we have short delivery cycles, sprints, and a lot of peers to share data models with. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs? Stay with us on a […]

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