Found 353 bookmarks
Custom sorting
The Rise of Graph Technology
The Rise of Graph Technology
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
·linkedin.com·
The Rise of Graph Technology
Michael Bronstein on Twitter
Michael Bronstein on Twitter
We kicked off our #NeurIPS2020 series joined by @TacoCohen, ML Researcher at @Qualcomm @Qualcomm_Tech, to discuss his current research in equivariant networks and video compression using generative models, as well as his paper “Natural Graph Networks.”— The TWIML AI Podcast (@twimlai) December 22, 2020
·twitter.com·
Michael Bronstein on Twitter
TopQuadrant on Twitter
TopQuadrant on Twitter
TopQuadrant CEO, Irene Polikoff, provides an overview of the two main graph models along with illustrations of their similarities and differences in graph diagrams in Part I of II in this article series from @TDAN_com https://t.co/CxOrTb3ELL#knowledgegraphs #datagovernance— TopQuadrant (@TopQuadrant) September 25, 2020
·twitter.com·
TopQuadrant on Twitter
stephen mallette on Twitter
stephen mallette on Twitter
I'll be discussing "Graph Queries with Gremlin Language Variants" at the Category Theory and Applications group meetup on October 6: https://t.co/MG1HpNEiGd Be prepared to see Gremlin in many different forms! #graphdb pic.twitter.com/OIOsfLvWze— stephen mallette (@spmallette) September 28, 2020
·twitter.com·
stephen mallette on Twitter
Graph Databases for Dummies
Graph Databases for Dummies
Get this introductory book on graph databases to learn the basics of the fastest-growing database technology and get started on your own graph project.
·neo4j.com·
Graph Databases for Dummies
Science Forum: Wikidata as a knowledge graph for the life sciences
Science Forum: Wikidata as a knowledge graph for the life sciences
based diagnosis of disease, and drug repurposing. Integrating data and knowledge is a formidable challenge in biomedical research. Although new scientific findings are being discovered at a rapid pace, a large proportion of that knowledge is either locked in data silos (where integration is hindered by differing nomenclature, data models, and lice
·elifesciences.org·
Science Forum: Wikidata as a knowledge graph for the life sciences