It highlights trending machine learning research and the code to implement it. Papers with Code was founded by Robert Stojnic and Ross Taylor in 2018. Stojnic and Taylor have joined Facebook AI in ...

Combining graphs and machine learning has been getting a lot of attention lately, especially since the work published by researchers from DeepMind, Google Brain, MIT, and the University of Edinburgh.

This article explores what knowledge graphs are, why they are becoming a favourable data storage format, and discusses their potential to improve artificial intelligence and machine learning ...

Diffbot is a startup focused on using artificial intelligence to better provide companies information found on the internet. The core product is a knowledge graph they claim has mapped “over 10 ...

First is Node2Vec, a popular graph embedding algorithm that uses neural networks to learn continuous feature representations for nodes, which can then be used for downstream machine learning tasks.

Understanding, Knowing, and Connecting via Knowledge GraphsKnowledge graphs grant us new and different ways of visualizing our data. The technology connects disparate entities and surfaces the ...

Deep learning and natural language processing with Excel. Learn Data Mining Through Excel shows that Excel can even express advanced machine learning algorithms. There’s a chapter that delves ...

Pasqal announces new machine learning protocol for comparing complex graph-based data on quantum systems Paris-based startup publishes paper in peer-reviewed APS Physics journal detailing Quantum ...