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Business Persons' Guide to: What is a Knowledge Graph? In 10 minutes or less
There is a lot of mystique surrounding knowledge graph that it can sometimes be daunting to approach graph technology. I am here to let you in on a little secret, that you don't need to worry about all the jargon and the tech behind them to understand fundamentally what graph is and why people are talking about it. Check out the video to learn more (and take part in the giveaway)! Stay in touch: LinkedIn: https://www.linkedin.com/in/ashleighnfaith/ Direct Message: isadatathing-at-gmail.com Resources: Relational compared to graph: https://neo4j.com/developer/graph-db-vs-rdbms/ Graph database...
Aleksa Gordić on LinkedIn: #graphneuralnetworks #gat #graphs | 33 comments
A couple of beautiful things happened during this week! 1. My pytorch-GAT project amassed 712 stars over the last week! Which is a beautiful signal to... 33 comments on LinkedIn
Although artificial intelligence capabilities are improving daily, it is not always easy to put the AI rubber on the road – especially when it comes to understanding AI’s contextual data and problem-solving approaches. How about bringing in some “real” intelligence? Graphs are a typically human way
Jason Barnard on LinkedIn: #knowledgepanel #knowledgegraph #googleknowledgegraph
I just added a new tool Kalicube Reverse Knowledge Graph Lookup. Look up any kgid. Now THIS has started me down a deep, deep rabbit hole (or was it the...
Step-by-Step, No-Code Taxonomy Model ANYONE Can Learn
Ever wish it was just easier to learn about taxonomy? Or how about teaching the Girl Scouts about data science? Or maybe finally getting your friends to understand what you actually do at work? Join me in this step by step walk through on how to make a taxonomy and how you can use your junk-drawer to help your teams, family, and friends learn with you. No jargon, no strict rules, just having fun while we play with data. Kit Materials: (I got mine from the Dollar Tree but any odds and ends will do) 1 pack of colored pencils 1 pack colored markers 2 packs "pompoms" 1 pack beads of the same sh...
Ever wish it was just easier to learn about ontology and knowledge models? Or better yet, how to use a taxonomy to BUILD an ontology? Or how about teaching the Girl Scouts about data science? Or maybe finally getting your friends to understand what you actually do at work? Join me in this step by step walk through on how to take a taxonomy and make a pizza ontology to help your teams, family, and friends learn with you. No jargon, no strict rules, just having fun while we play with data. Part 1: Making the taxonomy https://youtu.be/bLNWyfc2jvQ OWL file for the original Stanford Pizza Ontolo...
Knowledge graphs: The secret of Google Search and now XDRhttps://t.co/kZOvSz3Kke#Infosec #Security #Ceptbiro #Cybersecurity #KnowledgeGraphs #GoogleSearch #XDR— Rene Robichaud (@ReneRobichaud) February 17, 2021
Having been involved in the Semantic space for more than a decade and a half, I've seen quite a few arguments that seem to be eternal. Do you use upper ontologies or not? Is SHACL better than OWL? Property Graphs vs.
So much to explore in this thesis by @nickvosk, much of which is focused on "making structured knowledge more accessible to the user by describing and contextualizing [knowledge graph] facts" > Supporting search engines with knowledge and context https://t.co/sIQjQY3zri pic.twitter.com/C89v4YyrO5— Aaron Bradley (@aaranged) February 17, 2021
Serendipity and the most detailed map of my knowledge that ever...
Existing note-taking apps like OneNote or Evernote are unsatisfying to me, especially when it comes to ordering and structuring your notes and keeping control over your data. This is why I have...
Vincent Boucher on LinkedIn: #MachineLearning #ChemicalPhysics #GraphNeuralNetworks
MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks Wang et al.: https://lnkd.in/gs2g2mk #MachineLearning #ChemicalPhysics...
model the interactions between drugs and various biological targets in the body to predict which ones could be used for the treatment of Covid-19. I framed the problem as edge regression on a bipartite graph, and used a variant of graph convolutional networks to predict over 50 potential Covid-19 treatments.
I'm so excited to share this! 🚀✨ My latest research project was to model the interactions between drugs and various biological targets in the body to... 15 comments on LinkedIn
Graph Convolutional Networks (GCNs) combine deep learning with feature diffusion to produce useful node embeddings
Graph Convolutional Networks (GCNs) combine deep learning with feature diffusion to produce useful node embeddings. The embeddings are constructed by taking...
The top 5 graph database advantages for enterprises
Graph database advantages are abundant, which is why enterprise adoption has trended upward the past few years. Check out what the top advantages are to organizations.
Petar Veličković on LinkedIn: Theoretical Foundations of Graph Neural Networks
The recording of my talk on Theoretical Foundations of Graph Neural Networks is now live (+ slides are in the description)! 🕸️ Join me as I derive GNNs...
Great!It will be even more interesting if done for @wikidata , where granularity is much high (item-level, not article-level)Not only more interesting but often more accurate. See why: https://t.co/6ZVZG9yTwF #SPARQL https://t.co/yGSLwMhUQC— Ivo Velitchkov (@kvistgaard) February 21, 2021
Introducing Knowledge Graphs into Organizations - Data Science Central
A little soup is quickly cooked. But if many chefs are working together on a larger menu that will eventually be appreciated by a banquet of guests, good prep…
Pavan Kapanipathi on Twitter: "3/5 [Demo]: Neuro-Symbolic Question Answering: A KBQA system that enables use of neuro-symbolic reasoner by leveraging semantic parsing. SoTA on two DBpedia based KBQA datasets Paper: https://t.co/4p0Sy4vlGw Blog: https://t.co/mYIXuH8dbA @ibrahimabdelazz @sroukos" / Twitter
3/5 [Demo]: Neuro-Symbolic Question Answering: A KBQA system that enables use of neuro-symbolic reasoner by leveraging semantic parsing. SoTA on two DBpedia based KBQA datasets Paper: https://t.co/4p0Sy4vlGwBlog: https://t.co/mYIXuH8dbA@ibrahimabdelazz @sroukos— Pavan Kapanipathi (@pavankaps) February 6, 2021
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Gladys Kemboi on LinkedIn: Creating a Knowledge Sharing Culture in Africa and Beyond: Chatting
Had a fantastic discussion with Gladys Kemboi on creating a Knowledge Sharing Culture in Africa through her efforts with the Global Knowledge Partnerships...