GraphNews

This research talks about using Random Walk inspired Anonymous Walks as graph units to derive feature-based and data-driven Graph Embeddings in an unsupervised...

This is a guest post by Russell Waterson, Knowledge Graph Engineer at Data Lens Ltd. Customers use knowledge graphs to consolidate and integrate information assets and make them more readily available. Building knowledge graphs by getting data from disparate existing data sources can be expensive, time-consuming, and complex. Project planning, project management, engineering, maintenance and […]

A new benchmarking study released at this week’s The Knowledge Graph Conference illustrates how large corporates are starting to embrace…

Over the recent years, Graph Neural Networks have become increasingly popular in network analytic and beyond. With that, their architecture noticeable diverges from the classical multi-layered...

Discover the top 5 graph analytics takeaways from Gartner's Data & Analytics Summit, from creating context to improving communication.

The performance of applications, such as personal assistants, search engines, and question-answering systems, rely on high-quality knowledge bases, a.k.a. Knowledge Graphs (KGs). To ensure their...

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