yWorks on LinkedIn: #yEdLive #diagram #browser
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...
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Knowledge Graphs - Amazon Neptune - Amazon Web Services
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...
TigerGraph Demonstrates Scalability to Support Massive Data Volumes, Complex Workloads and Real-World Business Challenges
Company Achieves “Industry First” Results in New Graph Database Performance Benchmark
Michiel Hildebrand posted on LinkedIn
New website of oorlogsbronnen.nl about WWII in the Netherlands is launched today. Congratulations to Lizzy Jongma and her team with this impressive achievement...
The Power of Product Knowledge Graph for E-commerce
Discover how a Product Knowledge Graph can help you create an immersive e-commerce experience and sell more products.
SWC Continues Global Expansion with New Presence in the U.S.
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.
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
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...
Kurt Cagle posted on LinkedIn
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 ...
DBpedia Hackathon: TerminusDB & Conflict Data
Inoreader - Take back control of your news feed
One place to keep up with all your information sources. With Inoreader, content comes to you, the minute it's available. Subscribe to RSS Feeds, Blogs, Podcasts, Twitter searches, Facebook pages, even Email Newsletters! Get unfiltered news feeds or filter them to your liking.
Top Seven Hits and Misses in the Graph Database World
What’s advancing the world of graph databases, and what’s slowing us down?
Reasoning on Financial Intelligence
Knowledge Graphs vs. Property Graphs – Part II – TDAN.com
Our latest investments in information quality in Search and News
Transformers are Graph Neural Networks
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
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The metaphactory platform enables knowledge workers to create and gain meaningful insight into their data with one comprehensive software solution.
An Illustrated Explanation of Using SkipGram To Encode The Structure of A Graph (DeepWalk)
Learn how DeepWalk treats creating graph embeddings as equivalent to creating word embeddings
Aaron Bradley on Twitter
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering https://t.co/AdDke9AtZ0 pic.twitter.com/QXPucOK1Xo— Aaron Bradley (@aaranged) September 3, 2020
David Bader on Twitter
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
Michael Bronstein on Twitter
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
WikiResearch on Twitter
"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
Olaf Hartig on Twitter
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
Denise Gosnell, PhD on Twitter
(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
Aaron Bradley on Twitter
"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
Learning SPARQL on Twitter
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
Aaron Bradley on Twitter
Very cool: a new Knowledge Graph Search tool by @maxxeight & @MerkleAllows you to:• View entities associated with a query• Extract Knowledge Graph IDs• See scoring for different results+ preview the SERP (favourite feature)Test + bookmark here: https://t.co/WcCENJNG11 pic.twitter.com/KokprslthX— Brodie Clark (@brodieseo) September 10, 2020
Michael Bronstein on Twitter
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
Learning SPARQL on Twitter
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
Neo4j on Twitter
Water networks are graphs. And, if poorly designed, vulnerable. Storing their topology in a #graphdatabase helps identifying components & weaknesses. This @graphileon demo was built on top of #neo4j, without writing any code. #lowcoding #YourAppIsAGraphhttps://t.co/2WW3YCRQwF pic.twitter.com/bJ9pYjRTkt— Graphileon (@graphileon) September 12, 2020
Neo4j on Twitter
In this week's #twin4j, @adamcowley hows us how to build a Knowledge Graph from our Slack archiveshttps://t.co/isibvvCAZ0#neo4j pic.twitter.com/BCm6o0fcNd— Neo4j (@neo4j) September 12, 2020