GraphNews

Nature Machine Intelligence - The number of graph neural network papers in this journal has grown as the field matures. We take a closer look at some of the scientific applications.

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500 million+ members | Manage your professional identity. Build and engage with your professional network. Access knowledge, insights and opportunities.

Data on Native communities are not at the levels needed for accuracy in A.I.-driven tools. A group is trying to solve that problem.

Tributary is a library for constructing dataflow graphs in python! pip install tributary Don't forget to star the repository! https://lnkd.in/dxWXfw_Y...

Starting a new Inductive Link Prediction Challenge 2022

The video of Guandao Yang discussing his paper "Geometry processing with Neural Fields" is up! YouTube Link: https://lnkd.in/dGqu2vcN I am excited to ...

With the right data fabric, people and algorithms can make better decisions and reduce the risk of data misuse or misinterpretation.

Graph data linked with geographic data will provide new means of data discovery, developers were told at a recent conference hosted by Esri.

Some of the modern GNNs have their roots in methods originally developed in the signal processing domain.   Graph Signal Processing started with two directions...

In the last couple of months, I’ve been noticing a gradual shift in the kind of articles that we receive at Data Science Central. We still get a fair amount of data science content, but increasingly (and admittedly with a bit of encouragement) we’re seeing more articles centered around graphs and semantics. I don’t believe… Read More »DSC Weekly Digest 22 February 2022: Graphology

It is nearly certain that, if you have ever played a 3D video game, watched a CGI-effects-laden movie, or seen increasingly hyperrealistic imagery, you have encountered a scene graph without realizing it. Scene graphs are pervasive in everything from media to medicine, from augmented reality to industrial digital twins, and they are increasingly playing an… Read More »Scene Graphs and Semantics

The Semantic Web has garnered a reputation for complexity among both Javascript and Python developers, primarily because, well, it’s not JSON, and JSON has become the data language of the web. Why learn some obscure language when JSON is perfectly capable of describing everything, right? Well, sort of. The problem that JSON faces, is actually… Read More »Why JSON Users Should Learn Turtle

How shape detection drives classification

Stardog Designer is our new, no-code, visual environment for data engineers and analysts to connect, map, model, and publish data. -- https://hubs.ly/...

𝖣𝖤𝖤𝖯 𝖫𝖤𝖠𝖱𝖭𝖨𝖭𝖦 𝖮𝖭 𝖦𝖱𝖠𝖯𝖧𝖲 332 Pages Free Pre-print download: https://lnkd.in/g7Eqg4Ag This book covers comprehensive contents in ...

With a $250,000 first prize, entrepreneurs, academics, engineers, scientists can create their own problem statement focused on a topic of their choosing.

We are proud to announce the release of ArangoDB 3.8! With this release ArangoDB improves many use-cases analytics.

Just because you’re calling your model a “knowledge graph” doesn’t make it so. True knowledge graphs possess three distinct characteristics.

Summary

You’ve probably seen web editors based on the idea of blocks. I’m typing this in WordPress, which has a little + button that brings up a long list of potential blocks that you can inser…

🧪 From an internal lab project to a project for the future of Dataveyes 🚀 We are very proud to introduce Modality, our analysis and visualisation tool... 36 comments on LinkedIn

Tim Berners-Lee has an interesting habit of coming up with ideas that seem hard to explain at the outset, remain all hard to understand even as they become more implemented and refined, can go for years with only a few die-hard fans becoming convinced that what he is doing is the best thing since sliced… Read More »How Solid Pods May End Up Becoming the Building Blocks of the Metaverse

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Graph databases will no longer be a luxury but will become a "must-have" for enterprise IT organizations in 2022, according to graph database provider TigerGraph. According to Gartner's research, by 2025, graph technologies will be used in 80% of new data and analytics systems, up from 10% in 2021, facilitating rapid decision-making across the enterprise.…

Nature Biotechnology - A knowledge graph platform integrates proteomics with other omics data and biomedical databases.

Pavel Klinov, Stardog VP of Research and Development, is back from the Dagstuhl Seminar on Graph Databases and Network Visualization, held at the Leibniz Center for Informatics in Germany from January 16 – 21, 2022. We asked him about his experience.

Leading researchers in Geometric & Graph ML summarise the progress in 2021 and make predictions for 2022