Of Superheroes, Hypergraphs and the Intricacy of Roles
In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not really talk much about that particula…
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
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...
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
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 […]
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
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
"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
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!
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...
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