Engine B - Whats the difference between ontology and Knowledge Graphs-1.pdf
GraphNews
Knowledge graphs
Petar Veličković on Twitter
We release the full technical report & code for our OGB-LSC entry, in advance of our KDD Cup presentations! 🎉https://t.co/w4cQWr6iFdSee thread 🧵 for our insights gathered while deploying large-scale GNNs!with @PeterWBattaglia @davidmbudden @andreeadeac22 @SibonLi et al. pic.twitter.com/Aj3joZnIZ9— Petar Veličković (@PetarV_93) July 21, 2021
Aaron Bradley on Twitter
NEWS https://t.co/LK4SRbrCZD releases a new version with ❺ @BioSchemas types for representing life sciences dataA big step towards improving #findability of life sciences web resources@SSirarat @egonwillighagen @gray_alasdair #FAIRdata #bioinformatics➡️https://t.co/ZTq3T5FfyK pic.twitter.com/7fpfQmVd5w— ELIXIR Europe (@ELIXIREurope) July 9, 2021
Philip Vollet on LinkedIn: #github #programming #opensource
Visualizing a codebase! How to maintain a better overview? Simply take a bird's eye view! The GitHub Repository Visualizer to fingerprint a codebase ...
Juan Sequeda on LinkedIn: Designing and Building Enterprise Knowledge Graphs
Finally!! After a couple of years of writing, and building on a decade of research and practice, our book "Designing and Building Enterprise Knowledge ...
Tom Sawyer Software on LinkedIn: #graph #complexity #IoT
Not all information needs to be seen at first sight. Child drawings allow you to expand a parent node and see more elements. See the #graph at the level...
Christophe Willemsen on LinkedIn: GitHub OCTO | Visualizing a codebase
Visualising a code base, as a graph ! Nice experiment by Github’s Office of the CTO https://lnkd.in/dPZaycCp...
Kurt Cagle on LinkedIn: Can Consciousness Be Explained by Quantum Physics? Fascinating Research | 15 comments
Something that I think is beginning to emerge is the close connection between networks (graphs), fractals, and quantum mechanics. We tend to see the world... 15 comments on LinkedIn
Benedek Rozemberczki on LinkedIn: #ai #machinelearning #datascience
Recommended good read: Filtration Curves for Graph Representation (KDD 2021) Paper: https://lnkd.in/dGfJ_TR Code: https://lnkd.in/d-YCXZT #ai #machinelearning...
Graphing crypto | Frontier Enterprise
Merkle Science is a Singapore-headquartered blockchain data analysis firm that helps crypto companies, financial institutions, and government agencies detect, investigate, and prevent illegal activities that involve cryptocurrencies. Over the past couple of years, Merkle Science has been trying to visualise their data and make it easier to understand through use of a graph database. Unlike […]
The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later
How the Semantic Web vision reincarnated in thousands of Linked Open Data datasets and millions of Schema.org tagged webpages
David Bader on Twitter
[Article] Interactive Graph Stream Analytics in ArkoudaFully #openaccess @ https://t.co/9h0J69f8Q3#streaminggraphdata#graphstreamsketch#trianglecounting#Arkoudaframework#algorithms pic.twitter.com/AfxyflYZ7k— Algorithms MDPI (@Algorithms_MDPI) July 27, 2021
Kelvin Lawrence on Twitter
A major update to the graph-notebook project (https://t.co/a7gh3wpOy2) was just released . Connect to any TinkerPop enabled graph database and see your query results as text and diagrams as well as use Python code. SPARQL and openCypher supported too! @apachetinkerpop #graphdb— Kelvin Lawrence (@gfxman) July 29, 2021
Integrating Graph and Language Data in Machine Learning Models: Applications for Computational Social Science - ProQuest
Explore millions of resources from scholarly journals, books, newspapers, videos and more, on the ProQuest Platform.
Aaron Bradley on Twitter
DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection https://t.co/Op5RrTPR9y pic.twitter.com/yWMlDniKmJ— Aaron Bradley (@aaranged) July 26, 2021
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction https://t.co/zwBLmn1FtH pic.twitter.com/U9bJEw4qLv— Aaron Bradley (@aaranged) July 27, 2021
WikiResearch on Twitter
"Improving Inductive Link Prediction Using Hyper-Relational Facts" from hyper-relational knowledge graph such as #Wikidata.(Ali et al, 2021)paper: https://t.co/FfdhZJHxqzcode: https://t.co/uURI4qi2Jj.. pic.twitter.com/6HFbh59Na6— WikiResearch (@WikiResearch) July 27, 2021
DeFi Knowledge Graph with Neo4j
Exploring decentralized finance on the blockchain with a graph database
Visual Query Builder: Building Basic Cypher Queries
Welcome to the launch of Visual Query Builder (VQB) on GraphXR! This is a preview of VQB on an existing Neo4j database supplied with Twitter data from the US presidential election, where we build basic Cypher queries using drag and drop, no-code visual building blocks.
Schedule a free live-training below to learn more today! 👩💻💡
https://meetings.hubspot.com/kineviz/vqb-building-cypher
Special thanks to Alice Benedict & the Kineviz team for creating this preview of VQB!
Turn a Harry Potter Book into a Knowledge Graph
Learn how to combine Selenium and SpaCy to create a Neo4j knowledge graph of the Harry Potter universe
Deep Graph Library
Library for deep learning on graphs
What is RDFS?
And how much can a simple schema do for you?
Relational Graph Convolutional Networks: A Closer Look
Relational Graph Convolutional Networks: A Closer Look https://t.co/JOg3a2YtUV pic.twitter.com/XZmYnRAVxY— Aaron Bradley (@aaranged) July 22, 2021
Exploring Interpersonal Relationships in the Bible
Learn how to visualize family trees and work with live data using Memgraph and Cypher
Vertex Matching Engine: Blazing fast and massively scalable nearest neighbor search
Some of the handiest tools in an ML engineer’s toolbelt are vector embeddings, a way of representing data in a dense vector space. An early example of the
A Survey of Knowledge Graph Embedding and Their Applications
Knowledge Graph embedding provides a versatile technique for representing knowledge. These techniques can be used in a variety of applications such as completion of knowledge graph to predict...
Dan Brickley on Twitter
Hey RDF folks, what is the state of the art in making visualizations of RDFS/OWL vocabularies, shapes, of the kind that would make people familiar with UML feel comfortable?— Dan Brickley (@danbri) July 20, 2021
WikiResearch on Twitter
"WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset", collected by pairing Wikipedia articles with a subgraph from the Freebase knowledge graph.(Luyu Wang et al, 2021)paper: https://t.co/FKmpfBARe8data: https://t.co/hS1xbWj9aI pic.twitter.com/HOQxRoc5we— WikiResearch (@WikiResearch) July 21, 2021
Aaron Bradley on Twitter
ThingFO v1.2's Terms, Properties, Relationships and Axioms - Foundational Ontology for Things / Luis Olsina https://t.co/c91oOm2SAg pic.twitter.com/3YxDhtG1iN— Aaron Bradley (@aaranged) July 21, 2021