schema blog: Schema for Coronavirus special announcements, Covid-19 Testing Facilities and morehttps://t.co/tBhBrOyO0f— 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
Michael Bronstein on LinkedIn: Predictions and hopes for Graph ML in 2021
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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Xavier Bresson on LinkedIn: My main talks on Graph Neural Networks in 2020 1. Introduction to
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...
Michael Bronstein on LinkedIn: #gnns #polypharmacy #drugs
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...
Aleksa Gordić on LinkedIn: PinSage: A new graph convolutional neural network for web-scale recommender
A beautiful example of how GNNs (graph neural networks) can be leveraged in massive-scale (billions of nodes!) production systems - such as the recommender...
Michael Bronstein on LinkedIn: Graph Convolutional Networks (GCN) | GNN Paper Explained
The final video for this year - Graph Convolutional Networks (GCNs)! The most cited paper in the GNN literature. As promised I'm continuing to work on...