"Knowledge Graphs are not just used by Microsoft Bing or Google Search but...*we can use it ourselves*!" 💪 What is a Knowledge Graph & Why Should You Care ∼ an excellent 🎥 introduction by @ryan_shelley https://t.co/o8VtTgCVeo #knowledgegraph #SEO cc @wordliftit— Andrea Volpini (@cyberandy) January 13, 2021

Interesting work on ontology visualization, including "an interactive visualization tool which applies the high-level criteria within its design". Open access via @MDPI_MTI https://t.co/fuAsoXGddX— Aaron Bradley (@aaranged) January 13, 2021

Graph Neural Networks are the new big thing! Don’t wait to check out the coolest applications of GNNs, written by our Research Scientist, Sergey Ivanov. #NeuralNetwork #AI #MachineLearning #GNN @SergeyI49013776 https://t.co/WOYajrhtJu— Criteo AI Lab (@CriteoAILab) January 14, 2021

I would rate this app as the most useful app since MS Excel :) Regardless of if you are familiar with Neo4j or not......

Hi all, I have developed new algorithms for managing semantics (i.e. logical assertions) in knowledge graphs - faster algorithms for automated deduction...

🚨NEW #SEO TOOL ALERT🚨Want to explore beyond the immediate #backlinks that surround a site?We've launched Link Graphhttps://t.co/EwSegGLtp5Link Graph is an incredible new tool to help you...... find out is there's a cluster of interlinked sites near your site pic.twitter.com/tzEGmHuQ2l— Majestic (@Majestic) December 15, 2020

Registration is open for the Metaspeak Meetup (a free online event) on December 14, 2020, hosted by LinkedIn…

Wondering about Graph analytics and Graph DBMS but don't want to geek out? Check out What Is ‘Graph?’ — An Elementary Version for the Uninitiated - from...

100% declarative full stack is now a reality. We explain how we built LinkedDataHub—our Knowledge Graph management system—using only declarative technologies.New blog post, the last in the series:https://t.co/Du3qxWuI0T— AtomGraph (@atomgraphhq) October 29, 2020

Concur. This is a great, detailed resource for those using #schema.org/Dataset https://t.co/j8H4ZUff2O pic.twitter.com/25KmdwOEJr— Aaron Bradley (@aaranged) December 8, 2020

Actually, this is pretty interesting > Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example https://t.co/YvvevnKtbV pic.twitter.com/5njn4ZXeKj— Aaron Bradley (@aaranged) December 8, 2020

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources https://t.co/JsMcHN8Z6g pic.twitter.com/IxbRmK4ioo— Aaron Bradley (@aaranged) December 8, 2020

"... we argue that to date there are no effective solutions for supporting developers' decision-making process when deciding on an ontology reuse strategy" > The Landscape of Ontology Reuse Approaches @vale_carriero et al. https://t.co/LTqn85wv26 pic.twitter.com/AwjVPUDYk7— Aaron Bradley (@aaranged) December 8, 2020

Towards a Shared Peer-Review Taxonomy: An interview with Joris van Rossum and Lois Jones https://t.co/VQ0C807Rms pic.twitter.com/wGls0T8QKC— cbaumle (@cbaumle) December 10, 2020

"We present ten simple rules that support converting a legacy vocabulary - a list of terms available in a print-based glossary or table not accessible using web standards - into a FAIR vocabulary." https://t.co/5Jby0iXAXU pic.twitter.com/c2ovJjiAd5— Aaron Bradley (@aaranged) December 10, 2020

"https://t.co/u85cjjArgc’s primary focus is people—individuals who were enslaved, owned slaves, or participated in slave trading."Data curated in RDF, you can browse the resources and get RDF out of it. I could not find a SPARQL endpoint yet https://t.co/jwjDtYnhsD— Adrian Gschwend (@linkedktk) December 11, 2020

As requested , here are a few non-exhaustive resources I'd recommend for getting started with Graph Neural Nets (GNNs), depending on what flavour of learning suits you best. Covering blogs, talks, deep-dives, feeds, data, repositories, books and university courses! A thread 👇 pic.twitter.com/el1kb8rS4G— Petar Veličković (@PetarV_93) September 17, 2020

From Knowledge Graphs to Knowledge Categories. @joshsh interviews Ryan Wisnesky of @ConexusAI for @TheGraphShow https://t.co/b1dxpdrBoh #knowledgegraphs #categorytheory #RDF #tinkerpop pic.twitter.com/wUpILFIV5z— Graph Day (@GraphDay) November 18, 2020

How can we gain maximum utility from a sophisticated ontology engineering such as #FIBO? @kptyson tells us how - by applying property paths combined w/ reasoning. Such techniques are useful for quality assuring large, complex ontologies & #knowledgegraphs. https://t.co/ZSfOVj5M1k— Ontotext (@ontotext) November 17, 2020

In this publication, Amazon scientists present the COVID-19 Knowledge Graph (CKG), a heterogeneous graph for extracting and visualizing complex relationships between COVID-19 scientific articles. Learn more: https://t.co/gmLEXJo48m #AmazonScience #COVID19 #KnowledgeGraphs pic.twitter.com/CzugJUhjs3— Amazon Science (@AmazonScience) November 16, 2020

"Ontology-driven Event Type Classification in Images" exploit structured information from #Wikidata to learn relevant event relations using deep neural networks. (Müller-Budack et al, 2020)https://t.co/fUFEN6wBqI@sherzodhakimov pic.twitter.com/CKyMMOKMaW— WikiResearch (@WikiResearch) November 19, 2020

Here's my first blog post for Amazon Neptune which discusses the new features it supports with its recent inclusion of @apachetinkerpop 3.4.8. #graphdb https://t.co/ImzR2rFIfX pic.twitter.com/EeHOR5k2xF— stephen mallette (@spmallette) November 18, 2020

"Fact-checking via Path Embedding and Aggregation", over Wikidata and DBPedia.(Pirro', 2020)https://t.co/opnd01It06 pic.twitter.com/b1IN7WomSA— WikiResearch (@WikiResearch) November 23, 2020

I say for some years that graph scaling is solved by throwing enough hardware at it and I'm VERY excited to hear we might even get dedicated "graph" hardware for it in the future! Great explanation! https://t.co/6XoAI3VOD2— Adrian Gschwend (@linkedktk) November 23, 2020

Leading enterprise #knowledgegraph provider @StardogHQ announces Stardog Cloud industry's first #cloud native offering enables organizations to transform enterprise data infrastructure into a comprehensive end-to-end #datafabric— Yuri Simione (@artika4biz) November 22, 2020

Who killed Lilly Kane? A case study in applying knowledge graphs to crime fiction https://t.co/hxdwBmvCKV pic.twitter.com/M2oOmtcB7G— Aaron Bradley (@aaranged) November 25, 2020

"Linking OpenStreetMap with Knowledge Graphs - Link Discovery for Schema-Agnostic Volunteered Geographic Information", using Wikidata and DBPedia.(Tempelmeier and Demidova, 2020)https://t.co/VAxB6fsxEb pic.twitter.com/OwKtzY9C59— WikiResearch (@WikiResearch) November 25, 2020