GraphNews

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

A beautiful compilation of the exciting research that happened in the world of Graph ML as well as the predictions of where the field is heading to according...

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I would rate this app as the most useful app since MS Excel :) Regardless of if you are familiar with Neo4j or not......

From GCNs to R-GCNs: encoding the structure of Knowledge Graphs with neural architectures (examples in NumPy code)

From protein folding to new antibiotics, Graph ML methods shine in biochemistry and drug design applications.

Similarity Computation via Graph Neural Networks

How to solve the practical problems when building a real Enterprise Knowledge Graph service

My main talks on Graph Neural Networks in 2020 1. Introduction to GNNs https://lnkd.in/gF_NZ-5 Slides: https://rb.gy/yabvud 2. Recent developments in...

I'm in love with GNNs. Yet another amazing application in computational biology. How about detecting poly-pharmacy (using multiple drugs at the same time...

A beautiful example of how GNNs (graph neural networks) can be leveraged in massive-scale (billions of nodes!) production systems - such as the recommender...

Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective Lamb et al.: https://lnkd.in/dE3ZkMF #TrustworthyAI #KnowledgeRepresentation...