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.

The goal is to design a graph neural network based recommendation system for scroll paintings (folk art) that can run on decentralized compute environments (such as peer-to-peer systems). Requires ...

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 ...

What This Graph of a Dinosaur Can Teach Us about Doing Better Science “Anscombe’s quartet” and the “datasaurus dozen” demonstrate the importance of visualizing data By Jack Murtagh ...

The Future of Learning Looks Bright. We’re entering a world where your learning could look more like exploring a smart web of knowledge, guided by an AI that truly gets you. Whether you’re 7 or 70, ...

A s 2022 dawns, knowledge graphs bear the dubious distinction of being at the epicenter of AI and machine learning for two reasons. One is that, unassisted, they are one of the myriad manifestations ...

Using more than one language when teaching and learning science in schools can greatly enhance concept development. This in fact goes to the heart of science.

The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service, is authored by Peter W. Battaglia of Google's DeepMind unit, along with ...