Data meets science: Open access, code, datasets, and knowledge graphs for machine learning research and beyond Written by George Anadiotis, Contributor Feb. 16, 2021 at 7:11 a.m. PT Science and ...

Machine learning and recently, graph neural networks become ubiquitous, e.g., in cheminformatics, bioinformatics, fraud detection, question answering, and recommendation over knowledge graphs. In this ...

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 ...

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 ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Tong Zhao is a Research Scientist in the Computational Social Science group at Snap Research. His research focuses on graph machine learning, representation learning, and data augmentation methods on ...

Bringing knowledge graph and machine learning technology together can improve the accuracy of the outcomes and augment the potential of machine learning approaches. With knowledge graphs, AI language ...