Deep Learning on Graphs and Manifolds: Going Beyond Euclidean Data

This talk will introduce the emerging field of geometric deep learning on graphs and manifolds, overview existing solutions and outline the key difficulties and future research directions. As examples of applications, this talk will show problems from the domains of computer vision, graphics, medical imaging, and protein science.

IEEE-Affiliated Group Name: The IEEE Signal Processing Society

URL: https://rc.signalprocessingsociety.org/education/webinars/SPSWEB2004.html