GraphHD: Efficient graph classification using hyperdimensional computing
Published in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) • Mar 14, 2022
Authors:,,
Igor Nunes
Mike Heddes
Tony Givargis
Abstract
Hyperdimensional Computing (HDC) developed by Kanerva is a computational model for machine learning inspired by neuroscience. HDC exploits characteristics of biological neural systems such as high-dimensionality, randomness and a holographic representation of information to achieve a good balance be...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!