GraphNews

Drawing graphs with Arrows.app • Arrows.app is a new tool for Neo4j to draw your Graphs! Arrow.app https://arrows.app Blog https://lnkd.in/gsQaang How...

"Semantic Models for Constructing #KnowledgeGraphs"My new article for @TDataScience, inspired by the original research of @caknoblock @szeke @JoseAmbite @taheriyan @dipsykapoor @USC_ISIhttps://t.co/hOZzAAP2usOther articles on a similar topic: https://t.co/GgiAPWQBFX pic.twitter.com/zemF3xAzDA— Giuseppe Futia (@giuseppe_futia) December 16, 2020

Nice table of of RDF*/SPARQL* implementations under “Preliminary implementations” at https://t.co/VhNSOcM93s— Learning SPARQL (@LearningSPARQL) December 17, 2020

Graph integration of structured, semistructured and unstructured data for data journalism https://t.co/rVzMyPDQSF pic.twitter.com/ohR6biQ9Rj— Aaron Bradley (@aaranged) December 17, 2020

Smart Mobility Ontology: Current Trends and Future Directions https://t.co/aMdQqQaUGj pic.twitter.com/Y4nYRU6BiI— Aaron Bradley (@aaranged) December 17, 2020

Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media https://t.co/pLMXCgQOEx pic.twitter.com/xnt1jhcmdE— Aaron Bradley (@aaranged) December 17, 2020

Things gone "meta" :) https://t.co/BtdsUxUU6P Knowledge Graph about Knowledge Graphs.— Teodora Petkova (@TheodoraPetkova) December 18, 2020

#Netflix support content decision makers with #MachineLearning and #KnowledgeGraphs. All based on #Metadata given by human experts. https://t.co/EWA3GbY6ZG— Pierre Levy (@plevy) December 20, 2020

“Wikipedia Knowledge Graph for Explainable AI” conference paper https://t.co/4SXkKKgDMK— Learning SPARQL (@LearningSPARQL) December 19, 2020

Not only an interesting paper having to do with knowledge graphs and wind turbines, but some of the illustrations *look like turbine blades viewed head on* - how cool is that? ;) https://t.co/WwhShrVA6G pic.twitter.com/okPtFCL0k0— Aaron Bradley (@aaranged) December 22, 2020

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

"Semantic Annotation for Tabular Data", using knowledge graphs like #DBPedia and #Wikidata.(Khurana and Galhotra, 2020)https://t.co/75kUf4lRvM pic.twitter.com/MUHpeMsGO0— WikiResearch (@WikiResearch) December 23, 2020

#neurosymbolic #AI = #DeepLearning x #KnowledgeGraphs https://t.co/ZMV0UPjchK— Pierre Levy (@plevy) December 24, 2020

#NeuroSymbolic #AI is merging symbolic (#KnowledgeGraphs) and statistical (#deeplearning) Artificial Intelligence. https://t.co/bnCNvlUMeY— Pierre Levy (@plevy) December 24, 2020

Continuing the GNN series with Graph Convolutional Networks (GCNs)!Hopefully, I've done a decent job explaining your work @thomaskipf @wellingmax! Thanks to @PetarV_93 for helping me better understand certain spectral concepts.#gcn #graph #gnnhttps://t.co/19lDTsrsln pic.twitter.com/ZlejVYUpVU— Aleksa Gordić (@gordic_aleksa) December 31, 2020

Then, a series of three posts on the expressive power of #graphneuralnetwork and the Weisfeiler-Lehman testhttps://t.co/LUn6QTRafKstructural encodinghttps://t.co/Go9eFj40wOand isometric embeddingshttps://t.co/939Jql7NNf pic.twitter.com/m4hcOq6CRW— Michael Bronstein (@mmbronstein) January 4, 2021

On the other hand, the post on the applications of #GraphML for the design of anti-#cancer #hyperfoods written with Kirill Veselkov and Gabriella Sbordone that took me the most time to produce did not attract as many views as I expected: https://t.co/FNy4LSsrUj pic.twitter.com/NxXPeMX7TF— Michael Bronstein (@mmbronstein) January 4, 2021

DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge https://t.co/YUdiAub4yu pic.twitter.com/FW3NLf6j50— Aaron Bradley (@aaranged) January 5, 2021

Merry Christmas !All my research is ready to be used by all professionals of #SPARQL, you just need to install this plugin in your IDE (IDEA or PHPStorm, Android, PyCharm, etc.)https://t.co/gM8y2C6mL8Do not hesitate if you have any problems. #LinkedData #LOD #Wikidata— Karima Rafes (@karima_rafes) December 24, 2020

A Survey on Embedding Dynamic Graphs https://t.co/FXxlusD76c pic.twitter.com/p9t1d9PhY1— Aaron Bradley (@aaranged) January 6, 2021

Our comprehensive Guide to Developing Enterprise Ontologies, Taxonomies and Knowledge Graphs is available to download free. This free 30 page eBook includes the Ontotext 10 step method to developing #KnowledgeGraphs#Taxonomy#Ontologyhttps://t.co/l7OHTDuG3k pic.twitter.com/1jGt4UGDJi— Synaptica LLC (@Synaptica) January 6, 2021

Cool tool alert: LD Wizard takes a CSV, asks you for a key column, and converts the CSV into linked data (N-Triples). This upcoming demo is in Dutch, but the wizard itself (https://t.co/x8JewmGsEv) walk-through video by @wgjbeek (https://t.co/aa08r7Xy5m) & docs are in English https://t.co/dEyCXSQRk7 pic.twitter.com/bN8ntYf44l— Aaron Bradley (@aaranged) January 7, 2021

IPRally is building a knowledge graph-based search engine for patent @sohear cc: @bill_slawski (only because I think of you WRT to anything patent-related Bill:) https://t.co/Dxxj1LtNkn— Aaron Bradley (@aaranged) January 7, 2021

"Once you have a model, you can integrate it into your operational environment, measure its variables, observe its dynamics, incorporate operational measures based on different model criteria, and continuously refine and adjust it." @marmanis https://t.co/MjzK4UQww1— Aaron Bradley (@aaranged) January 7, 2021

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generationhttps://t.co/p1z7Zx7Noo— Aaron Bradley (@aaranged) January 7, 2021

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology | Bioinformatics | Oxford Academichttps://t.co/JlymWUxKvu— Aaron Bradley (@aaranged) January 7, 2021

Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation · Special Issue 1 - COVID-19: Unprecedented Challenges and Chanceshttps://t.co/mzCgtR0oqZ— Aaron Bradley (@aaranged) January 7, 2021

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research - Archive ouverte HALhttps://t.co/976vB8U2Nj— Aaron Bradley (@aaranged) January 7, 2021