A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
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Updated
Feb 27, 2023
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Generative adversarial network for normalizing and predicting time-dependent graphs with respect to a fixed template.
MultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Graph SuperResolution Network using geometric deep learning.
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
Recurrent Dynamic Graph Mapper using GNN
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