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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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
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
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
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
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
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
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
Using Graph Convolutional Networks and TD(λ) to play the game of Risk https://t.co/Js0tUctECl pic.twitter.com/9EgI7hZa3d— Aaron Bradley (@aaranged) September 15, 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
Tax Knowledge Graph for a Smarter and More Personalized TurboTax @jiebingyu et al. of @Intuit https://t.co/XZP9afAU34 pic.twitter.com/iYAcCVmmVn— Aaron Bradley (@aaranged) September 15, 2020