GraphNews

With the Open Research Knowledge Graph (https://orkg.org) developed by TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften and L3S Research...

Stanford / Winter 2021

With our new tool Stardog Explorer, it’s easier than ever to search, browse, and understand connected data. No querying, no code — just an intuitive interface that anyone can use.

This series summarizes a comprehensive taxonomy for machine learning on graphs and reports details on GraphEDM (Chami et. al), a new framework for unifying different learning approaches Graphs are…

Wireframing/interface design and user experience flow definition activities are a powerful tool to visualize knowledge graph applications.

Hierarchical Graph Neural Networks - Over the recent years, Graph Neural Networks have become increasingly popular in network analytic and beyond. With...

Algorithms have been fundamental to recent global technological advances and, in particular, they have been the cornerstone of technical advances in one field rapidly being applied to another. We...

I find myself searching manually for @FullFact analysis of these quotes. How should this work? Driving fact-checking agenda solely via critical articles is tricky vs need for perspective on fairness of this selection/treatment. Original claims & this article need scrutiny-

Directional Graph Networks Beaini et al.: https://lnkd.in/dKe_q3K #GraphNeuralNetworks #DirectionalGraphNetworks #ArtificialIntelligence...

Your guide to the KG-related research in ML, May edition

Build a fully featured pipeline using the latest features from Haystack v0.8.0

Your guide to the KG-related research in ML, May edition

This paper, originally written in Hungarian by Dénes Kőnig in 1931, proves that in a bipartite graph, the minimum vertex cover and the maximum matching have the same size. This statement...

Guided sampling for large graphs Taking a small break from social networks. In this paper, they suggest an efficient and simple graph sampling method...

Introduction to basic concepts and applications of graph mining

Social or professional cliques often form around a shared task or interest. For example, you and fellow graduate students from the same program who go to a conference together form a clique.

RDF Schema is 23 this month - https://t.co/uUOOqVhoFa We released it just in time for the Brisbane WWW7 conference Ralph Swick gave an RDF tutorial, https://t.co/lmumM3o9IS This with a few tweaks along the way, was the foundation for https://t.co/ooIuC1elTy. https://t.co/YwpTogbhSy

@nightrose @danbri (reviving this old conversation here 👻) is it there a tool or an API that I can query to describe a #Wikidata entity using the https://t.co/IoQttEpJyY vocabulary? 🧐 cc @danbri @thadguidry @cyberandy

Graph Data Platform can do many rich things because the data is smart and using it is a paradigm-shifting minutes-to-millisecond experience.

We're excited to see @qian_yifan's article "Geometric graphs from data to aid classification tasks with Graph Convolutional Networks" published in @Patterns_CP. Congratulations!https://t.co/i5qGBHq6Cw— CSSI (@KelloggCSSI) April 21, 2021

Top 10 #Clubhouse users with the most powerful connections! Picked from over more than quarter a million users and 1.5M relationships! Powered by #neo4j #graphdatabase https://t.co/G0sX6I99rR pic.twitter.com/3o8yQEMgpY— Tokyo (@Ahmad_tokyo) April 22, 2021

Personalized News Recommendation with Knowledge-aware Interactive Matching https://t.co/txxb8WV2UG pic.twitter.com/4vyMEnbStp— Aaron Bradley (@aaranged) April 22, 2021

How does the Kudzu NFT virus spread in the Ethereum network? 🕸️Explore the virus outbreak on @graphcommons /2 https://t.co/US323sZUti @billyrennekamp @lewdmechanical @hxrts @MPtherealMVP pic.twitter.com/AXMWXMaFpY— Burak Arikan (@arikan) April 22, 2021

For regular readers of the (lately somewhat irregularly published) The Cagle Report, I've finally managed to get my feet underneath me at Data Science Central, and am gearing up with a number of new initiatives, including a video interview program that I'm getting underway as soon as I can get the l

"Relational world knowledge representation in contextual language models: A review" Knowledge bases such as #Wikidata provide a high standard of factual precision which can in turn be expressively modeled by language models.(Safavi and Koutra, 2021)https://t.co/zZuhjIvCva pic.twitter.com/NCLBQBlLPL— WikiResearch (@WikiResearch) April 23, 2021

New blog entry: Hidden gems included with Jena’s command line utilities—lots of ways to manipulate your RDF from the open-source multiplatform tool kit https://t.co/ZCOrxvZI3i pic.twitter.com/3rzI7xfKC9— Bob DuCharme (@bobdc) April 25, 2021

In this blog post, @ABrokenJester discusses how #RDFstar & #SPARQLstar can make provenance tracking in #RDF #KnowledgeGraphs easier, & demonstrates how RDF-star annotations can be retrieved, displayed & visualized graphically in #metaphactory: https://t.co/qbdXJvBlOp— metaphacts (@metaphacts) April 26, 2021

Hybrid AI is more than enriching existing AI models with specialized knowledge! Find out what that means exactly and how companies can benefit from it in this article.