Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding

1 code implementation • 24 Jun 2021 • Zipeng Liu, Yang Wang, Jürgen Bernard, Tamara Munzner

Graph neural networks (GNNs) are a class of powerful machine learning tools that model node relations for making predictions of nodes or links.

On Regulatory and Organizational Constraints in Visualization Design and Evaluation

no code implementations • 31 Oct 2016 • Anamaria Crisan, Jennifer L. Gardy, Tamara Munzner

This lack of more explicit guidance can leave visualization researchers and practitioners vulnerable to unforeseen constraints beyond the user's needs that can affect the validity of evaluations, or even lead to the premature termination of a project.

Human-Computer Interaction