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.
Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT library (Python Optimal Transport).
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
Recurrent multigraph integrator network using graph neural network.
Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.
Recurrent multigraph neural network
Graph based machine learning model for friend recommendation.
Centrality measures for signed networks
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