Source – https://analyticsindiamag.com/ Bronstein’s paper highlighted how research in many scientific fields such as computational social science, sensors network, physics, and healthcare calls for exploring non-Euclidean data. Working with 2D data is becoming passe as more and more researchers tap 3D data to develop AI models. Geometric deep learning, as the field is popularly called, Read More