GraphNews

These days, building and activating the network is a starting point to ensure adherence to standards and principles, quality of service and continuous ...

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...

A guide on how to create knowledge graphs using NER and Relation Extraction.

Recent years have seen a surge in research on deep interpretable neural networks with decision trees as one of the most commonly incorporated tools. There are at least three advantages of using...

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

This blog offers advice on selecting a direction of the graph relationships, supporting inverse relationships and naming a relationship.

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 […]

Geometric Deep Learning is an attempt for geometric unification of a broad class of machine learning problems from the perspectives of symmetry and invariance. These principles not only underlie the breakthrough performance of convolutional neural networks and the recent success of graph neural networks but also provide a principled way…

In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not really talk much about that particula…

Customers can use their existing Cloud Marketplace account to consume services on TigerGraph Cloud offering

We release the full technical report & code for our OGB-LSC entry, in advance of our KDD Cup presentations! 🎉https://t.co/w4cQWr6iFdSee thread 🧵 for our insights gathered while deploying large-scale GNNs!with @PeterWBattaglia @davidmbudden @andreeadeac22 @SibonLi et al. pic.twitter.com/Aj3joZnIZ9— Petar Veličković (@PetarV_93) July 21, 2021

NEWS https://t.co/LK4SRbrCZD releases a new version with ❺ @BioSchemas types for representing life sciences dataA big step towards improving #findability of life sciences web resources@SSirarat @egonwillighagen @gray_alasdair #FAIRdata #bioinformatics➡️https://t.co/ZTq3T5FfyK pic.twitter.com/7fpfQmVd5w— ELIXIR Europe (@ELIXIREurope) July 9, 2021

Visualizing a codebase! How to maintain a better overview? Simply take a bird's eye view! The GitHub Repository Visualizer to fingerprint a codebase ...

Finally!! After a couple of years of writing, and building on a decade of research and practice, our book "Designing and Building Enterprise Knowledge ...

Not all information needs to be seen at first sight. Child drawings allow you to expand a parent node and see more elements. See the #graph at the level...

Visualising a code base, as a graph ! Nice experiment by Github’s Office of the CTO https://lnkd.in/dPZaycCp...

Something that I think is beginning to emerge is the close connection between networks (graphs), fractals, and quantum mechanics. We tend to see the world... 15 comments on LinkedIn

Recommended good read: Filtration Curves for Graph Representation (KDD 2021) Paper: https://lnkd.in/dGfJ_TR Code: https://lnkd.in/d-YCXZT #ai #machinelearning...

Merkle Science is a Singapore-headquartered blockchain data analysis firm that helps crypto companies, financial institutions, and government agencies detect, investigate, and prevent illegal activities that involve cryptocurrencies. Over the past couple of years, Merkle Science has been trying to visualise their data and make it easier to understand through use of a graph database. Unlike […]

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

[Article] Interactive Graph Stream Analytics in ArkoudaFully #openaccess @ https://t.co/9h0J69f8Q3#streaminggraphdata#graphstreamsketch#trianglecounting#Arkoudaframework#algorithms pic.twitter.com/AfxyflYZ7k— Algorithms MDPI (@Algorithms_MDPI) July 27, 2021

A major update to the graph-notebook project (https://t.co/a7gh3wpOy2) was just released . Connect to any TinkerPop enabled graph database and see your query results as text and diagrams as well as use Python code. SPARQL and openCypher supported too! @apachetinkerpop #graphdb— Kelvin Lawrence (@gfxman) July 29, 2021

Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.

DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection https://t.co/Op5RrTPR9y pic.twitter.com/yWMlDniKmJ— Aaron Bradley (@aaranged) July 26, 2021

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction https://t.co/zwBLmn1FtH pic.twitter.com/U9bJEw4qLv— Aaron Bradley (@aaranged) July 27, 2021

"Improving Inductive Link Prediction Using Hyper-Relational Facts" from hyper-relational knowledge graph such as #Wikidata.(Ali et al, 2021)paper: https://t.co/FfdhZJHxqzcode: https://t.co/uURI4qi2Jj.. pic.twitter.com/6HFbh59Na6— WikiResearch (@WikiResearch) July 27, 2021