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graph-synthesis

Here are 5 public repositories matching this topic...

basiralab / GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

biomarker gans brain-connectivity geometric-deep-learning gnns network-neuroscience gnn graph-neural-network graph-fusion graph-synthesis graph-prediction brain-disorders graph-superresolution predictive-intelligence graph-integration graph-timeseries brain-gnn

Updated Feb 27, 2023

basiralab / HADA

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

Updated Jun 2, 2020
Python

basiralab / 4D-FedGNN-Plus

Federating temporally-varying graph timeseries

missing-data generative brain-connectivity temporal-data federated-learning network-neuroscience timeseries-forecasting brain-networks graph-neural-networks gnn graph-synthesis generative-learning 4d-gnn

Updated Sep 10, 2023
Jupyter Notebook

basiralab / 4D-FED-GNN

Federated time-dependent graph evolution prediction with missing timepoints.

missing-data longitudinal-data graph-generation brain-connectivity brain-network predictive-learning federated-learning graph-neural-networks gnn graph-synthesis network-prediction

Updated Mar 23, 2023
Python

basiralab / LG-DADA

Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.

clustering graph-generation brain-connectivity autism-spectrum-disorder adversarial-learning network-neuroscience graph-neural-networks graph-synthesis dual-network domain-alignment

Updated Dec 21, 2020
Python

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