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Foundations of Graph Neural Networks
Foundations of Graph Neural Networks
Happy to finally announce what I've been working on: an online course for GNNs! The Foundations of GNNs course will be more hands-on and community driven...
·linkedin.com·
Foundations of Graph Neural Networks
SONG: Self-Organizing Neural Graphs
SONG: Self-Organizing Neural Graphs
Recent years have seen a surge in research on deep interpretable neural networks with decision trees as one of the most commonly incorporated tools. There are at least three advantages of using...
·arxiv.org·
SONG: Self-Organizing Neural Graphs
Modeling Graph Relationships
Modeling Graph Relationships
This blog offers advice on selecting a direction of the graph relationships, supporting inverse relationships and naming a relationship.
·topquadrant.com·
Modeling Graph Relationships
Introducing Graph Store Protocol support for Amazon Neptune
Introducing Graph Store Protocol support for Amazon Neptune
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. Neptune’s database engine is optimized for storing billions of relationships and querying with millisecond latency. The W3C’s Resource Description Framework (RDF) model and the popular Labeled Property Graph model […]
·aws.amazon.com·
Introducing Graph Store Protocol support for Amazon Neptune
Geometric foundations of Deep Learning
Geometric foundations of Deep Learning
Geometric Deep Learning is an attempt for geometric unification of a broad class of machine learning problems from the perspectives of symmetry and invariance. These principles not only underlie the breakthrough performance of convolutional neural networks and the recent success of graph neural networks but also provide a principled way…
·kdnuggets.com·
Geometric foundations of Deep Learning
Petar Veličković on Twitter
Petar Veličković on Twitter
We release the full technical report & code for our OGB-LSC entry, in advance of our KDD Cup presentations! 🎉https://t.co/w4cQWr6iFdSee thread 🧵 for our insights gathered while deploying large-scale GNNs!with @PeterWBattaglia @davidmbudden @andreeadeac22 @SibonLi et al. pic.twitter.com/Aj3joZnIZ9— Petar Veličković (@PetarV_93) July 21, 2021
·twitter.com·
Petar Veličković on Twitter
Aaron Bradley on Twitter
Aaron Bradley on Twitter
NEWS https://t.co/LK4SRbrCZD releases a new version with ❺ @BioSchemas types for representing life sciences dataA big step towards improving #findability of life sciences web resources@SSirarat @egonwillighagen @gray_alasdair #FAIRdata #bioinformatics➡️https://t.co/ZTq3T5FfyK pic.twitter.com/7fpfQmVd5w— ELIXIR Europe (@ELIXIREurope) July 9, 2021
·twitter.com·
Aaron Bradley on Twitter
Philip Vollet on LinkedIn: #github #programming #opensource
Philip Vollet on LinkedIn: #github #programming #opensource
Visualizing a codebase! How to maintain a better overview? Simply take a bird's eye view! The GitHub Repository Visualizer to fingerprint a codebase ...
·linkedin.com·
Philip Vollet on LinkedIn: #github #programming #opensource