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Found 2 papers, 1 papers with code
The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks
This study highlights the importance of conducting comprehensive model inspection as part of comparative performance analyses.
A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging
Graph neural networks have emerged as a promising approach for the analysis of non-Euclidean data such as meshes.
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