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

Graph neural networks (GNNs) are a class of powerful machine learning tools that model node relations for making predictions of nodes or links. GNN developers rely on quantitative metrics of the predictions to evaluate a GNN, but similar to many other neural networks, it is difficult for them to und...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 6 vom: 01. Juni, Seite 2500-2516
1. Verfasser:	Liu, Zipeng (VerfasserIn)
Weitere Verfasser:	Wang, Yang, Bernard, Jurgen, Munzner, Tamara
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2022
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't