GraphNews

"A Review of the Semantic Web Field," by @PascalHitzler @KState, looks at the history, key concepts, #standards, and prominent outcomes of Semantic Web research https://t.co/riJ7rz9gGC. Hitzler discusses his work in an original video at https://t.co/B5jKfzrKIt. pic.twitter.com/JyqXetKLAq— Communications of the ACM (@CACMmag) January 26, 2021

I just wrote a blog about a 1 hour experiment I did today: using hugging face transformer QA model and SPARQL queries to DBPedia for a simple natural language interface: https://t.co/QjfvWHNTsv— mark_l_watson (@mark_l_watson) January 18, 2021

Gram: a data #graph format. https://t.co/bVs9TeEVBM pic.twitter.com/Dc7E8haxm5— Graphs & Networks (@TheOrbifold) January 26, 2021

New #openaccess research from @jjkoehorst and colleagues: A protocol for adding knowledge to #Wikidata: aligning resources on human coronaviruses. #Covid19 Read it here: https://t.co/TWkHhRPlA1 pic.twitter.com/ayoSFs0ztd— BMC Biology (@BMCBiology) January 25, 2021

Today’s most pressing data challenges center around connections, not just tabulating discrete data. The ability for graph data science…

Memgraph

Leading researchers in Graph ML summarise the progress in 2020 and make predictions for 2021

#ai #research #nlp Knowledge Graphs are structured databases that capture real-world entities and their relations to each other. KGs are usually built by human experts, which costs considerable amounts of time and money. This paper hypothesizes that language models, which have increased their performance dramatically in the last few years, contain enough knowledge to use them to construct a knowledge graph from a given corpus, without any fine-tuning of the language model itself. The resulting system can uncover new, unknown relations and outperforms all baselines in automated KG constructi...

Language Models are Open Knowledge Graphs .. but are hard to mine! Dive into the latest research on creating knowledge graphs using transformer based language...

IPRally, a burgeoning startup out of Finland aiming to solve the patent-search problem, has raised €2 million in seed funding. Leading the round is JOIN Capital and Spintop Ventures, with participation from existing pre-seed backer Icebreaker VC. It brings the total raised by the 2018-founded company to €2.35 million. Co-founded by CEO Sakari Arvela, who […]

Happy #FirstMonday 2021 **** Tutorial Alert @ ACM CoDS-COMAD **** What a great experience to deliver a tutorial on "Explainable AI using Knowledge Graphs...

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