GraphNews

Seeking to develop a multilingual Wikipedia where content can be shared among language editions.

Class 2 - Semi-Structured Information Repository Second in a series on the choices for capturing information and using knowledge in AI systems. Information-Centric Classification and Class 1 recap The previous blog in this series introduced the concept of an information-centric classification of AI

@linkedktk Have you seen the SHACL support in metaphactory? Not only visualisation for documentation, but also visual authoring: https://t.co/5mhJ1tcqYb

A look into the graph representations of r/Investing and r/WallStreetBets, often seen as the bears vs the bulls in the market. Hopefully…

I've written a blog which shows you how to embed a #3D #MindMap with hyperlinks in your homepage https://t.co/Y1ZUUreAio , an example is available at https://t.co/l8ap24ZcMc pic.twitter.com/5QWesXLaFt— Ingo Straub (@inforapid) March 14, 2021

Introducing a completely redesigned release with a unique user experience

There is a great deal of talk these days about using knowledge graphs to help manage large amounts of data. Learn the basics of knowledge graphs.

"The UI allows individuals with no previous knowledge of the Semantic Web to query the DBpedia knowledge base...." > Interface to Query and Visualise Definitions from a Knowledge Base @anelia12430996 & Hélène De Ribaupierre https://t.co/QGSJSEq4Ab pic.twitter.com/EIhZRVikK0— Aaron Bradley (@aaranged) March 15, 2021

📣 The code & datasets of our #CVPR2021 paper on #neurosymbolic explanatory interactive learning (NeSyXIL) is out!It involves a novel object-based neural concept learner & allows one to tell a DNN to not use "any gray box" to justify its classification.https://t.co/FcGg2LTs9z pic.twitter.com/IZt8622817— Kristian Kersting (@kerstingAIML) March 16, 2021

Knowledge Graph Question Answering using Graph-Pattern Isomorphism https://t.co/NMNc2N6kvx pic.twitter.com/VXsu2i7i9o— Aaron Bradley (@aaranged) March 16, 2021

"Information to Wisdom: Commonsense Knowledge Extraction and Compilation" from popular resources fortext extraction, e.g., #Wikipedia and scientific documents.(Razniewski et al, Tutorial at @WSDMSocial )paper: https://t.co/FiUedPOAzspage: https://t.co/YyuYX6xSCO pic.twitter.com/UvlM7bxqcW— WikiResearch (@WikiResearch) March 16, 2021

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…