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

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

Posted by Ali Kemal Sinop, Senior Research Scientist, Google Research and Mahmuda Ahmed, Senior Software Engineer, Google Maps Design tec...

The Data Exchange Podcast: Paco Nathan on recent trends in large-scale graph technologies and novel applications of graph databases.

Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.

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...

Ensuring the success of big graph processing for the next decade and beyond.

People analyti

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…

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

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

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 […]

[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

"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

Hey RDF folks, what is the state of the art in making visualizations of RDFS/OWL vocabularies, shapes, of the kind that would make people familiar with UML feel comfortable?— Dan Brickley (@danbri) July 20, 2021

"WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset", collected by pairing Wikipedia articles with a subgraph from the Freebase knowledge graph.(Luyu Wang et al, 2021)paper: https://t.co/FKmpfBARe8data: https://t.co/hS1xbWj9aI pic.twitter.com/HOQxRoc5we— WikiResearch (@WikiResearch) July 21, 2021

Information Integration using the Typed Graph Model / Fritz Laux & Malcolm Crowe https://t.co/b3cAQt9c5U pic.twitter.com/fGm1V309Ul— Aaron Bradley (@aaranged) July 21, 2021

Cf. Damion Dooley, @griffiemma, @plbuttigieg, FoodOn: a harmonized food ontology to increase global food traceability, quality control and data integration https://t.co/ARpniFL1FQ https://t.co/MXIfFbAeNc pic.twitter.com/qkHeMpcxQe— Aaron Bradley (@aaranged) July 21, 2021

Similar Cases Recommendation using Legal Knowledge Graphs https://t.co/I9lTyMwsMF (yet another cc: for you @EmekaOkoye :) pic.twitter.com/Sqrm5uGhFF— Aaron Bradley (@aaranged) July 13, 2021

"We demonstrate that this approach significantly reduces the cognitive load required to users for visualizing and interpreting a knowledge graph...." > Pattern-based Visualization of Knowledge Graphs @lguspree et al. https://t.co/S1DuVfNlxc pic.twitter.com/EEH9o8A8eA— Aaron Bradley (@aaranged) July 7, 2021

We wanted to see if the sensor data can be brought together through the Node Red low-code/no-code framework to feed the data into RDFox, an in-memory triplestore and then data summaries periodically pushed to a central, larger triplestore.

Due to the fact that the chapters are related to each other, I realized my book is better represented with a graph than in a linear formatYou can see the "Values" chapter is the core, so many other parts come from that pic.twitter.com/lFsxG0U7M6— Sarah Drasner (@sarah_edo) July 13, 2021

Querying Linked Data: how to ensure user's quality requirements https://t.co/VtOKQ6HqJC pic.twitter.com/VOfDLNda5p— Aaron Bradley (@aaranged) July 14, 2021

#DataMatters course "Using Linked Data," taught by @balhoff, offers an introduction to #linkeddata, #knowledgegraphs, and the semantic web tools underlying its use. #datascience #dataanalytics @RENCI Learn more and register here: https://t.co/P23ZlCsVOQ https://t.co/AFx1FmN6vl

Businesses need streaming ingestion tools and centralized data lakes with separate storage and compute layers to fulfill customer requests.

Leveraging the network structure of the use case to boost predictive performance