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.

GNN with summarization/grouping layer for speed and interpretability

HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.

Recurrent Dynamic Graph Mapper using GNN