GraphNews

COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs https://t.co/2qUreVrazx pic.twitter.com/5K1rMPulth— Aaron Bradley (@aaranged) October 14, 2020

"KGPT: Knowledge-Grounded Pre-Trainingfor Data-to-Text Generation", using #Wikidata and #Wikipediapaper: https://t.co/3LHhssUdpcrepo: https://t.co/QQWSGw76id pic.twitter.com/09zFFLUFND— WikiResearch (@WikiResearch) October 12, 2020

Nice article by @oralassila: https://t.co/s5FVQer2ka— Learning SPARQL (@LearningSPARQL) October 13, 2020

For this blog Bob Kasenchak explores using our software, Synaptica's Graphite to Model Euclid’s Elements Book I in RDF

A Graph Representation of Semi-structured Data for Web Question Answering - "a novel graph representation of Web tables and lists based on a systematic categorization of the components in semi-structured data as well as their relations" https://t.co/wudiZu2pH0 pic.twitter.com/U3sz5qHlRz— Aaron Bradley (@aaranged) October 15, 2020

this is huge 👇 Data Commons is available in Google's Knowledge Graph! Thanks @aaranged for sharing this! https://t.co/kVzX4MunaW— Andrea Volpini (@cyberandy) October 16, 2020

For this blog @taxobob explores modeling Euclid’s Elements Book I in RDF Using Graphite. #knowledgegraphs#ontologieshttps://t.co/PwtEOEpRWG pic.twitter.com/4LaMa47d0T— Synaptica LLC (@Synaptica) October 19, 2020

Great Ben Lorica (@bigdata) podcast interview with @kejriwal_mayank about knowledge graphs. I had waited years to hear Ben mention "RDF" on his podcast.The buzzphrase "knowledge graphs" has become a foot in many doors for this set of W3C standards!https://t.co/jkBg5w7Pxj— Bob DuCharme (@bobdc) October 17, 2020

Our #EMNLP2020 paper introduces MHGRN, a multi-hop #GraphNeuralNetworks model that can answer complex questions via relational reasoning over #KnowledgeGraphs. Kudos to our excellent summer interns, Yanlin and Xinyue. @xiangrenNLP @nlp_usc Paper: https://t.co/8KzsbrL0pw [1/3] pic.twitter.com/x1oi4tQwRK— Yuchen Lin (@billyuchenlin) October 20, 2020

Guess which one might be the geometric space of choice for geometric representation learning with graphs? Keynote by Maximilian Nickel at #cssa2020 @cikm2020 https://t.co/EL3FgSRnpw pic.twitter.com/1PmlzkKZhD— Harald Sack (@lysander07) October 20, 2020

Can JSON Schema can be used to define and validate JSON-LD? "think the answer is a qualified 'yes', says @philbarker. "Here’s a proof of concept; do me a favour and let me know if you think it is wrong." https://t.co/pnGD4UQYFd— Aaron Bradley (@aaranged) October 20, 2020

How Does AI Understand Graphs?time is technically a graphhttps://t.co/iRlwXdV0g1#ai #graphtheory #graphdatabases #timeseries pic.twitter.com/ByNmkqC3DW— Graph Day (@GraphDay) October 19, 2020

Got a beef with you @aarontay: through one of your tweets I've discovered the existence of Ashleigh Faith's "IsA DataThing" YouTube channel on information architecture & semantics, and now I need to watch 31 videos :) https://t.co/Z3IcOlSdoS pic.twitter.com/wExS2xKLAi— Aaron Bradley (@aaranged) October 19, 2020

Intel and Katana Graph Team on Large-scale Graph Analyticshttps://t.co/W1C6jqsZk4@KatanaGraph #graphanalytics #analytics #graphdatabase pic.twitter.com/cazSPRV60c— Graph Day (@GraphDay) October 19, 2020

Just published by @WikimediaIL :https://t.co/JadkTTL6cJCould this be the best #SPARQL / @wikidata query tutorial ever? pic.twitter.com/yeyRum76ix— WikiCite (@Wikicite) October 21, 2020

Our mission of bringing order to chaos of distributed and unstructured data continue! In this blog, @VlastaKus shows how to convert text into a meaningful knowledge graph by extracting entities and relationships automatically from text. https://t.co/LwcHk7G2vK— Alessandro Negro (@AlessandroNegro) October 21, 2020

Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph @emmagerritse @fhasibi @arjenpdevries https://t.co/ELFJc17XLv pic.twitter.com/bexlxYBu6D— Aaron Bradley (@aaranged) October 21, 2020

Large Scale Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training @agarwal_oshin et al. https://t.co/pwU6F1vHmr pic.twitter.com/6Nqy6RiU4h— Aaron Bradley (@aaranged) October 27, 2020

Check out the new issue of https://t.co/UWeN9c7tgC. Content focused on #BigData #Covid19 #datagovernance #EDM #knowledgegraphs more. Great authors this month - @georgefirican Polikoff of @TopQuadrant @DGPROS Mecca @thinkdataworks @craigmullins @RSeiner.https://t.co/UWeN9c7tgC pic.twitter.com/DbZVQbmJGH— Robert S. Seiner (@RSeiner) October 22, 2020

Can’t wait to get my copies as well. This has been a long time in the works so glad it’s finally come to fruition. https://t.co/kput7PAJg1 https://t.co/yqMFwmjD92— Dave Bechberger (@bechbd) October 27, 2020

Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?https://t.co/ilcnQQcIhYby Manas Gaur et al.#KnowledgeGraph #DeepLearning— arXiv Daily (@arXiv_Daily) October 26, 2020

Excited for the next chapter! Vector completed its acquisition of MarkLogic and the baton is now in the hands of our new CEO Adrian Carr @ade_carr. Thank you to @GaryLBloom for your leadership over the past 8+ years. https://t.co/Z7AUQ4WcBa pic.twitter.com/CnEo6FZ8aU— MarkLogic (@MarkLogic) October 26, 2020

In this week's #twin4j, @mdavidallen teaches us all there is to know about super nodeshttps://t.co/VtYzHZNjvI#Neo4j pic.twitter.com/riYFmeHZmT— Neo4j (@neo4j) October 25, 2020

"Building #KnowledgeGraphs from Structured Sources".An explanation about the mapping approach (and languages) adopted to integrating heterogeneous data.My new article/tutorial for @TDataScience.#rml #jarql #tarql #r2rml #dataintegration #SemanticWebhttps://t.co/YwgIGupHr3 pic.twitter.com/qAyzzX3VMf— Giuseppe Futia (@giuseppe_futia) October 28, 2020

KnowID: An Architecture for Efficient Knowledge-Driven Information and Data Access / Pablo Rubén Fillottrani & C. Maria Keet 1/2 https://t.co/WBsNQmsIXJ pic.twitter.com/G6drmpmccN— Aaron Bradley (@aaranged) October 27, 2020

Created a #3D #MindMap of people who inspired Albert Einstein and who were inspired by Albert Einstein with a #SPARQL query from #WikiData. The #SPARQL query can be found at #github https://t.co/bJEBujXcFw, the live demo at https://t.co/5dgucBrn8y pic.twitter.com/wd7DoB6kjW— Ingo Straub (@inforapid) October 29, 2020

“Graph data science and graph analytics reveal the workings of intricate systems and networks at massive scale.”Download your free copy of Graph Data Science For Dummies: https://t.co/io3Hc7I37y#GraphDataScience #DataScience #ML pic.twitter.com/Bdyt7ChHqr— Neo4j (@neo4j) October 29, 2020

To quickly understand tabular data, EURECOM and Orange are developing the DAGOBAH semantic annotation platform.

Debrief from AstraZeneca’s Data Science and Artificial Intelligence