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.
Predictive intelligence through agent-based population simulation
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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