Interactive Media for Understanding ML Methods: A Case-Study on Graph Neural Networks

Ameya Daigavane, Balaraman Ravindran, Gaurav Aggarwal

Keywords: interactive, visualizations, graph, gnn

TL;DR: Interactive media can be very useful to understand the fundamentals of graph neural networks.

Abstract: We demonstrate the advantages of an interactive medium for explaining the key principles and mathematical machinery behind graph neural networks. We discuss the challenges we faced while creating an expository article on this topic using interactive elements. Our exhibit is available at https://distill.pub/2021/understanding-gnns/.

Exhibit: https://distill.pub/2021/understanding-gnns/