GraphNews

Over 28,000 peer-reviewed scientific papers about graph-powered data science have been published in recent years - Read more here!

SEO chapter of the 2020 Web Almanac covering content, meta tags, indexability, linking, speed, structured data, internationalization, SPAs, AMP and security.

The emergent integrated network structure of scientific research "In this study, [they] propose a topic network framework for investigating the emergent...

Deep learning update: What have I learned about Graph ML in 2 months?

Last week, I was discussing the key features of an Enterprise Knowledge Graph (EKG) with some colleagues, and I realized that although we…

We’re excited to announce a collaboration that we’ve been working on with the wonderful team at arxiv.org.

Connected Papers are now partnered with arXiv.org and from now on every paper page in arXiv will link to a corresponding Connected Papers graph! Check...

Patterns for Representing Knowledge Graphs to Communicate Situational Knowledge of Service Robots https://t.co/xktHqliz8q pic.twitter.com/yZgiSFgQeI— Aaron Bradley (@aaranged) January 28, 2021

The English WordNet in #Neo4j. https://t.co/buXxA8OdqX #NLP #KnowledgeGraphs pic.twitter.com/MY0EAaRDon— Graphs & Networks (@TheOrbifold) February 1, 2021

"Towards a Systematic Approach to Sync FactualData across #Wikipedia, #Wikidata and ExternalData Sources"(Hellmann et al, 2021)paper: https://t.co/TlYkPg5jg6tool: https://t.co/YPVhcgP8W7 pic.twitter.com/bSnkPOmHeU— WikiResearch (@WikiResearch) February 1, 2021

"GovData goes #SPARQL. From now on, queries on the original metadata are possible via a triple store endpoint:" https://t.co/eDvPCxgriO https://t.co/lvlagMyzsC— Learning SPARQL (@LearningSPARQL) January 30, 2021

Graph analysis using the tidyverse.https://t.co/PIIN0UFlzH #rstats #graphs pic.twitter.com/cs7ynHD9rh— Graphs & Networks (@TheOrbifold) February 2, 2021

Today is the day! #BabelNet 5 is out! https://t.co/ybsOc0WNmDNew interface, up-to-date content in 500 languages, 20 million synsets, WordNet 2020, and much more! Thanks to the great team behind this fantastic release! #knowledgegraphs #multilinguality @SapienzaNLP @Babelscape pic.twitter.com/5rCIEAixD0— Roberto Navigli (@RNavigli) February 2, 2021

A Knowledge Graph for the Agri-Food Sector @rapw3k https://t.co/Uko5uhcg2F— Aaron Bradley (@aaranged) February 1, 2021

"Each instance of ResearchSpace has at its core a dynamic and expandable graph-based representation of networks of people, things, places, and events, a structure we refer to as the knowledge graph." https://t.co/oab1VKFPVd— Aaron Bradley (@aaranged) February 1, 2021

Dynamic graphs are a big part of how Twitter does what it does. We use them to model networks that evolve over time. In this post @emaros96 & @mmbronstein discuss a new ML model developed by Twitter to efficiently predict activity in dynamic graphs.https://t.co/BKk0BBTAk0— Twitter Engineering (@TwitterEng) February 1, 2021

https://t.co/SfPYXk7kjv is an easy yet beautiful tool for modeling graphs. Try modeling your next brainstorming session or entity relationship diagram into a graph and see how it feels.Homepage: https://t.co/1JVSaaihnuKudos @neo4j for updating this community tool. pic.twitter.com/8s8sdcg4zv— John Kary (@johnkary) February 2, 2021

.@tb_tomaz shows "how you can create a news monitoring data pipeline that combines Natural Language Processing and knowledge graphs technologies." https://t.co/VHYOKOi95L— Aaron Bradley (@aaranged) February 2, 2021

Yay! #Pattern-based design applied to #culturalheritage #knowledgegraphs published at @SW_Journal 🤓you should read it if you want to: know how a modelling issue turns into an #ODP, learn about the #Italian CH, find out the dimensions for KG #evaluation...https://t.co/4SXMTKaigC pic.twitter.com/TA4o7IqLwL— Valentina Carriero (@vale_carriero) January 28, 2021

Commonsense Knowledge Mining from Term Definitions / Zhicheng Liang & @dlmcguinness https://t.co/vvpfdQILCn pic.twitter.com/QV9yqS5sD2— Aaron Bradley (@aaranged) February 2, 2021

In the wake of the coronavirus pandemic, organizations equipped with cloud-based systems and tools are poised for growth in a reformed landscape.

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Gram is a textual format for data. We have CSV for tables, JSON for documents, and gram for data graphs.

Graphcore Director of Research Carlo Luschi discusses AI research directions in 2021, including training efficiency and parallel training.

By equipping people with personal data vaults, we can leverage _more_ data for _better_ services ◆ We’re living in a data-driven economy, and that won’t change anytime soon. Companies, start-ups, organisations, and governments all require some of our data to provide us with the services we want and need…

Linked Data is still largely unknown, or misunderstood and undervalued. Often, people find it simply too difficult. So I keep looking for new ways to make