GraphNews

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

Coronavirus Knowledge Graph: A Case Study - NASA/ADShttps://t.co/ZP7RshH7HW— Aaron Bradley (@aaranged) January 7, 2021

COVID-19 knowledge graph: Accelerating information retrieval and discovery for scientific literaturehttps://t.co/1pEcUtYJ7s— Aaron Bradley (@aaranged) January 7, 2021

schema blog: Schema for Coronavirus special announcements, Covid-19 Testing Facilities and morehttps://t.co/tBhBrOyO0f— Aaron Bradley (@aaranged) January 7, 2021

We’ve Released a COVID-19 Knowledge Graph - Tomas Sabathttps://t.co/IlKiqBQd9B— Aaron Bradley (@aaranged) January 7, 2021

“Triples that include a triple as a subject or an object are known as RDF* triples.” https://t.co/d6boIJ5Ol7— Tony Hammond (@tonyhammond) January 10, 2021

TGN (Temporal Graph Network) is now on Pytorch Geometric! Huge thanks @rusty1s for making this happen!It is the first model for dynamic graphs in PyG. Let's hope to have many more in the future! Example code: https://t.co/Im2yKBp8dQOriginal Paper: https://t.co/1gUTxlC3pr pic.twitter.com/ZaEj3tGv3g— Emanuele Rossi (@emaros96) January 11, 2021

"... a novel framework leveraging dynamic graphs to capture collaborative and sequential relations of both items and users at the same time" > Dynamic Graph Collaborative Filtering https://t.co/tSgSYwkyV5 pic.twitter.com/lTVkOORiSy— Aaron Bradley (@aaranged) January 11, 2021

"... we present a new generic recommendation systems framework, that integrates knowledge graphs into the recommendation pipeline." > Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy https://t.co/rL5idtE1px pic.twitter.com/2iRm0YyQP2— Aaron Bradley (@aaranged) January 11, 2021

The Apache Rya team is happy to announce the release of Apache Rya 4.0.1, the *first* release as an ASF top-level project. Check it out at https://t.co/N58phhH6SO#RDF #BigData #TripleStore #SPARQL @ApacheAccumulo @MongoDB @ApacheFluo @TheASF— Apache Rya (@apacherya) January 5, 2021

"Knowledge Graphs are not just used by Microsoft Bing or Google Search but...*we can use it ourselves*!" 💪 What is a Knowledge Graph & Why Should You Care ∼ an excellent 🎥 introduction by @ryan_shelley https://t.co/o8VtTgCVeo #knowledgegraph #SEO cc @wordliftit— Andrea Volpini (@cyberandy) January 13, 2021

Interesting work on ontology visualization, including "an interactive visualization tool which applies the high-level criteria within its design". Open access via @MDPI_MTI https://t.co/fuAsoXGddX— Aaron Bradley (@aaranged) January 13, 2021

Graph Neural Networks are the new big thing! Don’t wait to check out the coolest applications of GNNs, written by our Research Scientist, Sergey Ivanov. #NeuralNetwork #AI #MachineLearning #GNN @SergeyI49013776 https://t.co/WOYajrhtJu— Criteo AI Lab (@CriteoAILab) January 14, 2021

A repository of pretty cool datasets that I collected for network science and machine learning research. - benedekrozemberczki/datasets