GraphNews

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts https://t.co/tJzTg12Et8 pic.twitter.com/y7uEGwQbs7— Aaron Bradley (@aaranged) March 16, 2021

A Novel Paper Recommendation Method Empowered by Knowledge Graph: for Research Beginners https://t.co/K5TJEfEZcY pic.twitter.com/3JXpFUdds9— Aaron Bradley (@aaranged) March 17, 2021

KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph https://t.co/PQUHvgYT0C pic.twitter.com/Ss8UIyH1l6— Aaron Bradley (@aaranged) March 17, 2021

Need to link #KnowledgeGraphs? Our article on the #OpenSource link discovery framework LIMES (https://t.co/zSp8nSaDNG) is now available at https://t.co/Fy2JMNRKQE. With LIMES, we support #OpenScience on the integration of knowlege graphs @MAhmedSherif @kvndrsslr @mommi84— Axel Ngonga (@NgongaAxel) March 18, 2021

"Open Graph Benchmark: Datasets for Machine Learning on Graphs" including the 'ogbl-wikikg2' datastet obtained from @Wikidata.(@weihua916 et al, 2021)paper: https://t.co/5GK0rM1wY0page: https://t.co/eTLSlyDgRN #KDD21 competition: https://t.co/vfLZ73Sqja@harvard_data pic.twitter.com/SGO5LyPjKW— WikiResearch (@WikiResearch) March 18, 2021

NetVec: A Scalable Hypergraph Embedding System https://t.co/CHaT76MA7T pic.twitter.com/ZVChTtb0zH— Aaron Bradley (@aaranged) March 18, 2021

This demo allows hands-on experience on Knowledge Graph databases by executing SPARQL queries side-by-side with their SQL counterparts.

What is Semantic SEO? SEO is becoming more Semantic, and it's worth looking at how it is moving in that direction with knowledge panels, question-answering, and related entities

“Why do old men wake so early? Is it to have one longer day?” Ernest Hemingway

"Mention-centered Graph Neural Network for Document-level Relation Extraction" discovering relations between entities across a whole document using #Wikidata.(Pan et al, 2021)https://t.co/UInDj2b1gH pic.twitter.com/OZk79w9mO5— WikiResearch (@WikiResearch) March 22, 2021

Abstract

“…And that’s why graph databases are so cool,” I say, after droning on for some time. “You get it, right?”

QGraph Solves the Most Challenging Graph Problems on Quantum Computers without Complex Quantum Programming

Qatalyst quantum accelerator software is in the cloud, ready-to-solve your complex constrained optimization problems, right now.

In this post, we would like to present our recent contribution in knowledge graphs embedding (KGE) models which was accepted at the AAAI…

"Directional Graph Networks" by Gabriele Corso, Saro Passaro, Dominique Beaini, Vincent Létourneau et al. Paper: https://lnkd.in/dpYeTiP #GraphNeuralNetworks...

Just published....

Announcing Stardog Explorer, a brand new way to easily explore the connections in your data. Powerful, intuitive new visualization and search capabilities make it easier for more types of users to benefit from your connected data in Stardog.

In recent years Knowledge Graphs have been used to solve one of the biggest problems not only in machine learning but also in computer…

The pandemic forced D&A leaders to step up research and analysis to respond effectively to change and uncertainty, the firm says.

Part of my Quick Take Series for quick limited-technical explanations on topics, in this case What is RDF? or Resource Description Framework, a major part of...

This articles introduces the Northwind sample database as a valuable resource to work on development of SPARQL feature proposals.

Topical Authority and Semantic SEO will be discussed more frequently with the concept of Structured Search Engine in the coming years. In this article, you will learn how to use these techniques to grow organic traffic.

Mike Tung: "I want to propose a much simpler statement of the benefits of knowledge technologies. KG technologies are indeed useful, but the most productive... 30 comments on LinkedIn

TerminusDB has raised $4.3 million to build what it calls the "knowledge collaboration infrastructure" for the internet.

Nice machine learning read of the week: E(n) Equivariant Graph Neural Networks. The paper: https://lnkd.in/dfZ3Gh4 Source code: https://lnkd.in/dNfzQRj...

As Enterprise Knowledge Graphs (EKGs) grow, support teams will see an increase in demand for documentation about your graph data.

Somesh Mohapatra strikes again with some representation learning for biopolymers, this time glycans! Alongside Joyce An, we propose a graph representation...

The field of Graph Neural Networks has matured substantially and here I propose to have a look at the top applications of GNNs.

Discover the new features in GDS 1.5, including new algorithms, more machine learning, and easier production deployment.