Tomaz Bratanic on LinkedIn: Complete guide to understanding Node2Vec algorithm
My first ever blog post that doesn't include a single line of code. Hope you will enjoy my Complete guide to #node2vec algorithm blog post. #Graph #MachineLearning...
Introducing our next guest speaker at Knowledge Graphs in Drug Discovery Pt.2: Alex Ridden, CEO at Knights Analytics
Introducing our next guest speaker at Knowledge Graphs in Drug Discovery Pt.2: Alex Ridden, CEO at Knights Analytics. Alex has almost 10 years experience...
Deep Learning on Graphs for Natural Language Processing
Deep Learning on Graphs for Natural Language Processing (DLG4NLP) is a very fast-growing area in recent years. Our Graph4NLP library is designed as a powerful...
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...
A team led by Mila researcher Jian Tang launches TorchDrug, an open-source platform for drug discovery
Mila is a place of collaboration and a meeting point for the main actors of artificial intelligence in Montreal. Our mission is to be a global pole for scientific advances that inspires innovation and the development of AI for the benefit of all.
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
Visualization recommendation or automatic visualization generation can significantly lower the barriers for general users to rapidly create effective data visualizations, especially for those...
Optimizing Graph Transformer Networks with Graph-based Techniques
Graph transformer networks (GTN) are a variant of graph convolutional networks (GCN) that are targeted to heterogeneous graphs in which nodes and edges have associated type information that can be...
Alan Morrison on LinkedIn: Sovrin aligns with European Self-Sovereign Identity Consortium (ESSIC
These days, building and activating the network is a starting point to ensure adherence to standards and principles, quality of service and continuous ...
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...
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 […]
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…
Of Superheroes, Hypergraphs and the Intricacy of Roles
In my previous post in which I discussed names, I also led in with the fact that I am a writer. Significantly, I did not really talk much about that particula…
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
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
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 ...
Juan Sequeda on LinkedIn: Designing and Building Enterprise Knowledge Graphs
Finally!! After a couple of years of writing, and building on a decade of research and practice, our book "Designing and Building Enterprise Knowledge ...
Tom Sawyer Software on LinkedIn: #graph #complexity #IoT
Not all information needs to be seen at first sight. Child drawings allow you to expand a parent node and see more elements. See the #graph at the level...