Investigating Transfer Learning in Graph Neural Networks

no code implementations • 1 Feb 2022 • Nishai Kooverjee, Steven James, Terence van Zyl

Graph neural networks (GNNs) build on the success of deep learning models by extending them for use in graph spaces.

Graph Classification Node Classification +1

Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition

no code implementations • 2 Jan 2020 • Nishai Kooverjee, Steven James, Terence van Zyl

In this paper we analyse the effectiveness of using deep transfer learning for character recognition tasks.

Transfer Learning