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).
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Feb 25, 2022 - Python
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graph-prediction
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HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
graph-convolutional-networks graph-classification geometric-deep-learning gnns network-neuroscience graph-neural-networks gcn-architecture graph-alignment hierarchical-domain-alignment deep-graph-alignment brain-graphs adversarial-graph-prediction graph-synthesis graph-prediction hada
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Jun 2, 2020 - Python
Recurrent multigraph integrator network using graph neural network.
recurrent-neural-networks brain-connectivity geometric-deep-learning graph-learning graph-neural-networks graph-fusion graph-prediction connectional-brain-template generative-learning graph-integration
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Jan 4, 2022 - Python
Recurrent multigraph neural network
pytorch data-integration brain-connectivity data-fusion network-neuroscience gnn graph-prediction connectional-brain-template multigraph-population-fusion recurrent-graph-neural-network graph-evolution-prediction
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Oct 10, 2022 - Python
Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 for solving the metabolite identification problem.
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Updated
Mar 25, 2022 - Python
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