GraphNews

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

Great news everybody, there are no limitations regarding the usage of yEd Live anymore! It is free to use for everybody and even in commercial environments...

A knowledge graph captures the semantics of a particular domain using a set of definitions of concepts, their properties, relations between them, and logical constraints that are expected to hold. Knowledge graphs consolidate and integrate an organization’s information assets and make them more readily available to all members of the organization. There are many applications and use cases that are enabled by knowledge graphs. Information from disparate data sources can be linked and made accessible for to answer questions you may not even have thought of yet. Information and entities can be...

Company Achieves “Industry First” Results in New Graph Database Performance Benchmark

New website of oorlogsbronnen.nl about WWII in the Netherlands is launched today. Congratulations to Lizzy Jongma and her team with this impressive achievement...

Discover how a Product Knowledge Graph can help you create an immersive e-commerce experience and sell more products.

The Austrian provider of knowledge graph and text mining technology Semantic Web Company has announced the opening of its new U.S. office in Boston.

Graph neural networks (GNNs) have become a popular approach to integrating structural inductive biases into NLP models. However, there has been little work on interpreting them, and specifically...

Are you evaluating enterprise knowledge graphs (EKGs) for your business? This was the deck of a talk I gave for the AI+Knowledge Graph conference held ...

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What’s advancing the world of graph databases, and what’s slowing us down?

My engineering friends often ask me: deep learning on graphs sounds great, but are there any real applications? While Graph Neural Networks are used in recommendation systems at Pinterest, Alibaba and Twitter, a more subtle success story is the Transformer architecture, which has taken the NLP world by storm. Through

The metaphactory platform enables knowledge workers to create and gain meaningful insight into their data with one comprehensive software solution.

Learn how DeepWalk treats creating graph embeddings as equivalent to creating word embeddings

Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering https://t.co/AdDke9AtZ0 pic.twitter.com/QXPucOK1Xo— Aaron Bradley (@aaranged) September 3, 2020

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

SPEX introspects knowledge graphs in SPARQL endpoints, using RDF's self-describing nature to give a better understanding of its schema. Once the schema is available, SPEX can be used to browse instances of this data and follow links to other data. https://t.co/B0WTz6zsQT— Tim Finin (@timFinin) August 24, 2020