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

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

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

"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

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Great job to Prasun Gera for presenting our joint research on Traversing Large #Graphs on #GPUs with Unified Memory, with Hyojong Kim, @piyusch, & Hyesoon Kim, in virtual Tokyo @VLDB2020 #DataScience @NJIT @NJITYingWu https://t.co/J7V4K94VSF pic.twitter.com/LjsrKrqHJY— David Bader (@Prof_DavidBader) September 7, 2020

We got this year's @AmazonScience AWS ML Award for our work with @befcorreia on #protein design using #geometricdeeplearning Will help to take #masif to the next level https://t.co/Ec7t2g7nqV pic.twitter.com/OrHGwHp1cE— Michael Bronstein (@mmbronstein) September 9, 2020

"PNEL: Pointer Network based End-To-End Entity Linking over Knowledge Graphs." with an evaluation over three datasets on the #Wikidata Knowledge Graph.(@debayan Banerjee et al, 2020)https://t.co/cTCq4EhrGP pic.twitter.com/Ci1yn2CPDp— WikiResearch (@WikiResearch) September 8, 2020

Some good progress happening on the RDF* mailing list, towards a de-facto standard for representing statements about statements in a user-friendly syntax. See whole thread for context if interested https://t.co/S6N9w3XLH7— Holger Knublauch (@HolgerKnublauch) September 7, 2020

(1/5) Thank you everyone who came to Graph-n-Code livestreams with @SonicDMG and I. 🙏This thread has all the links you need for FREE access to:📌 The code📌 The Images📌 The bookWe are cooking up more livestreams; stay tuned! pic.twitter.com/QFbvdSiAO9— Denise Gosnell, PhD (@DeniseKGosnell) September 8, 2020

"We propose Factual News Graph (FANG), a novel graphical social context representation and learning framework for fake news detection" > FANG: Leveraging Social Context for Fake News Detection Using Graph Representation @ngnvnhng et al. https://t.co/mTJDQW9bYo pic.twitter.com/vVeYFToMN9— Aaron Bradley (@aaranged) September 8, 2020

Can we use #graphneuralnetworks when the graph is not given? In a new blog post I show that a new type of "latent graph learning" architectures can be thought of as a modern take on #manifoldlearninghttps://t.co/p40Sod9EOr pic.twitter.com/jw7RsKuiMi— Michael Bronstein (@mmbronstein) September 10, 2020

Just added >11M #OpenCitations to #COCI, for an overall amount of >733M citations currently available in our dataset – it can be queried via #REST API & #SPARQL endpoint and can be fully downloaded as a dump (available on #Figshare)+info at https://t.co/nxSlZGkb3G #OpenScience pic.twitter.com/FZhHYN782y— OpenCitations (@opencitations) September 7, 2020

Rule-Guided Graph Neural Networks for Recommender Systems https://t.co/Rt2TRzVllt pic.twitter.com/52A8tvKNz5— Aaron Bradley (@aaranged) September 10, 2020

"Pixie is one of Pinterest’s major recommendation systems used for fetching relevant Pins. Pixie is composed of a bipartite graph of all Pins and boards on Pinterest." https://t.co/Ng5PszF07x— Aaron Bradley (@aaranged) September 11, 2020

"In RDF, properties cannot be directly associated with edges. How would we represent something like [an LPG labeled edge] in RDF? In fact there are multiple ways of modeling this. A common approach is reification." @chrismungall https://t.co/0MQxFomSvX— Aaron Bradley (@aaranged) September 11, 2020

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data - Technical Report / @situxxx, @ststaab, Daniel Janke https://t.co/qrsPikb9U0 pic.twitter.com/dQ7qdzP26O— Aaron Bradley (@aaranged) September 11, 2020

Speaking of personalized knowledge graphs....Knowledge Graphs to Empower Humanity-inspired AI Systems @hemant_pt, Valerie Shalin, @amit_p https://t.co/7gYiAxNHhU pic.twitter.com/bVccm8IxCK— Aaron Bradley (@aaranged) September 16, 2020

@davidebus is delivering a brilliant keynote at DeepOntoNLP (https://t.co/XYE99QzEgB) about of role of #NLP and #DeepLearning in the generation of the #Artificial #Intelligence #KnowledgeGraph (AI-KG, https://t.co/rH7MgH7e89) from research publications. pic.twitter.com/SkWhpx6IUg— Francesco Osborne (@FraOsborne) September 16, 2020