Event Details
Applications of Graph Neural Networks
Presenter: Ahmed Elmougi
Supervisor:
Date: Thu, March 25, 2021
Time: 12:00:00 - 13:00:00
Place: ZOOM - Please see below.
ABSTRACT
Zoom meeting link: https://uvic.zoom.us/j/82692894734?pwd=L2JldlZxNDlpdmYyNEdqNldZT0pKQT09
Meeting ID: 826 9289 4734
Password: 917547
Note: Please log in to Zoom via SSO and your UVic Netlink ID
Abstract: Graph neural networks (GNN) are gaining a lot of attention in the deep learning community recently due to their ability to learn tasks by aggregating the features of data that can not be represented in a regular Euclidean space e.g. graph-structured data. In this seminar, I will go through the basics and applications of the convolutional GNN, Recurrent GNN, Spatio-temporal GNN, and Graph Autoencoder. Following, I will present our work on using graph neural networks for camera pose estimation.