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...
Giuseppe Futia, PhD on LinkedIn: #machinelearning #graphs #datascience
AutoGL an Auto-ML Framework & Toolkit for Machine Learning on Graph AutoGL (Auto Graph Learning) is able to automatically handle all stages of graph learning...
Aleksa Gordić on LinkedIn: Graph Attention Networks (GATs) | GNN Paper Explained
Graph neural networks, and geometric deep learning in general, are getting ever more important and we've seen trends on big conferences that back up that...
The purpose of a knowledge graph is to answer a user's questions. Some of the questions may be known upfront, while some questions users may never think of themselves.
Ryan Wisnesky on LinkedIn: Hi all, I have developed new algorithms for managing semantics (i.e
Hi all, I have developed new algorithms for managing semantics (i.e. logical assertions) in knowledge graphs - faster algorithms for automated deduction...
Gartner Top 10 Trends in Data and Analytics for 2020
Trend 1: Smarter, faster, more responsible #AI. Gartner analyst Rita Sallam shares the top 10 #data and #analytics trends for 2020. Read more. #GartnerSYM #Trends
🚨NEW #SEO TOOL ALERT🚨Want to explore beyond the immediate #backlinks that surround a site?We've launched Link Graphhttps://t.co/EwSegGLtp5Link Graph is an incredible new tool to help you...... find out is there's a cluster of interlinked sites near your site pic.twitter.com/tzEGmHuQ2l— Majestic (@Majestic) December 15, 2020
Emil Eifrem on LinkedIn: Wondering about Graph analytics and Graph DBMS but don't want to geek
Wondering about Graph analytics and Graph DBMS but don't want to geek out? Check out What Is ‘Graph?’ — An Elementary Version for the Uninitiated - from...
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In this week's #twin4j, @BarrasaDV builds a graph of the UNESCO Thesaurushttps://t.co/gKZRJJYtPl#Neo4j pic.twitter.com/VuQrP7eCNH— Neo4j (@neo4j) December 7, 2020
100% declarative full stack is now a reality. We explain how we built LinkedDataHub—our Knowledge Graph management system—using only declarative technologies.New blog post, the last in the series:https://t.co/Du3qxWuI0T— AtomGraph (@atomgraphhq) October 29, 2020
Concur. This is a great, detailed resource for those using #schema.org/Dataset https://t.co/j8H4ZUff2O pic.twitter.com/25KmdwOEJr— Aaron Bradley (@aaranged) December 8, 2020
Actually, this is pretty interesting > Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example https://t.co/YvvevnKtbV pic.twitter.com/5njn4ZXeKj— Aaron Bradley (@aaranged) December 8, 2020