MINODES: MARCH-INSIDE for Network Nodes
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Updated
Jan 28, 2024 - Python
MINODES: MARCH-INSIDE for Network Nodes
Simulating cost of trauma in brain networks
Functional connectivity and brain network analysis for motor imagery data in stroke patients
Supervised graph diffusion and fusion.
Federated time-dependent graph evolution prediction with missing timepoints.
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
Investigating the reproducibility of federated GNN models
A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.
This is the repository for paper `Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks'.
Brain graph super-resolution using graph neural networks.
Some tools for the extraction and plot of second-level ROI-to-ROI results from CONN Toolbox
Algorithms and functions in Matlab for community detection in networks. Expands BrainConnectivity toolbox
Easy whole-brain modeling for computational neuroscientists 🧠💻👩🏿🔬
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