network-neuroscience

There are 5 repositories under network-neuroscience topic.

basiralab / GNNs-in-Network-Neuroscience
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
graph-neural-network graph-prediction biomarker network-neuroscience brain-connectivity brain-disorders geometric-deep-learning gans predictive-intelligence graph-integration graph-fusion graph-synthesis graph-superresolution graph-timeseries gnn gnns brain-gnn
220
basiralab / RegGNN
Regression Graph Neural Network (regGNN) for cognitive score prediction.
gnn regression brain-connectivity network-neuroscience graph-neural-networks sample-selection cognitive-score matrix-parallel-transport symmetric-positive-definite riemannian-manifold geodesic-transport
Language:Python 71
basiralab / HUNet
Deep hypergraph U-Net (HUNet) for brain graph embedding and classification.
brain-disorders deep-learning diagnosis-prediction geometric-deep-learning hyper-unet hypergraph-learning hypergraph-unet network-neuroscience unet
Language:Python 22
basiralab / GSR-Net
Graph SuperResolution Network using geometric deep learning.
gsr-net resolution-connectomes graph-superresolution brain-graphs geometric-deep-learning u-net network-neuroscience predictive-intelligence predictive-learning generative-models data-generation brain-connectivity deep-learning-architectures
Language:Python 16
emergelab / hierarchical-brain-networks
Determining the Hierarchical Architecture of the Human Brain Using Subject-Level Clustering of Functional Networks
brain-imaging community-detection magnetic-resonance-imaging network-neuroscience
Language:MATLAB 12
basiralab / MGN-Net
MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.
graph-normalizer biological-networks multiview-networks multigraph graph-integration data-fusion data-integration brain-networks brain-connectivity connectomes network-neuroscience graph-neural-networks
Language:Python 10
basiralab / HADA
HADA (Hiearachical Adversarial Domain Alignment) for brain graph prediction and classification.
gcn-architecture graph-convolutional-networks geometric-deep-learning hierarchical-domain-alignment deep-graph-alignment graph-alignment network-neuroscience brain-graphs adversarial-graph-prediction graph-synthesis graph-prediction graph-classification gnns hada graph-neural-networks
Language:Python 9
basiralab / MICNet
Multigraph fusion and classification network using graph neural network
multigraph-integration multigraph-classification graph-neural-networks gcn diff-pool neural-networks deep-learning-framework brain-connectivity network-neuroscience network-fusion network-integration multiview-data multi-view-networks ai4medicine data-heterogeneity gender-differences brain-map mri-images
Language:Python 9
basiralab / MultigraphGNet
Predicting multigraph brain population from a single graph
graph-augmentation brain-connectivity connectomics deep-learning geometric-deep-learning gnn graph-neural-networks medical-dataset multigraph-generation network-neuroscience predictive-learning brain-networks generative-learning brain-mapping network-analysis
Language:Python 9
basiralab / 4D-FedGNN-Plus
Federating temporally-varying graph timeseries
gnn graph-neural-networks temporal-data timeseries-forecasting 4d-gnn brain-connectivity brain-networks federated-learning generative generative-learning graph-synthesis missing-data network-neuroscience
Language:Jupyter Notebook 8
basiralab / MV-LEAP
Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.
graph-augmentation multi-view-networks pca smote imbalanced-classes boosting-algorithm data-proliferator network-neuroscience brain-disorders computer-aided-diagnosis
Language:MATLAB 8
basiralab / RG-Select
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
reproducible-research reproducibility reproducible-science graph-neural-networks multigraph classification deep-learning brain-connectivity gcn graph-convolutional-networks sag graph-attention-networks diffpool network-neuroscience
Language:Python 8
basiralab / netNorm
We provide both Matlab and Python versions of netNorm. In this folder you find the Maltab version of the code.
network-fusion network-normalization network-integration sample-selection high-order-networks brain-connectivity network-neuroscience biomarker-discovery multi-view-networks multigraph-integration multigraph-fusion machine-learning connectome-mapping brain-disorders
Language:MATLAB 5
basiralab / netNorm-PY
netNorm (network normalization) framework for multi-view network integration (or fusion), recoded up in Python by Ahmed Nebli.
network-fusion network-normalization network-integration sample-selection brain-connectivity network-neuroscience biomarker-discovery multi-view-networks multigraph-integration multigraph-fusion connectome-mapping brain-networks high-order-connectivity brain-disorders
Language:Python 5
OnnoKampman / FCEst
Methods for estimating time-varying functional connectivity (TVFC)
functional-connectivity neuroimaging gaussian-processes machine-learning wishart-processes fmri sliding-windows dynamic-conditional-correlation dynamic-functional-connectivity time-varying-connectivity fcest network-neuroscience connectome brain-connectivity python mgarch nilearn gpflow
Language:Python 5
basiralab / BGSR-PY
Brain Graph Super-Resolution: how to generate high-resolution graphs from low-resolution graphs? (Python3 version)
machine-learning-algorithms graph-superresolution superresolution brain-connectivity network-neuroscience connectional-brain-template cbt predictive-learning generative-learning
Language:Python 4
basiralab / ReMI-Net-Star
Recurrent multigraph neural network
gnn brain-connectivity connectional-brain-template graph-prediction network-neuroscience pytorch graph-evolution-prediction multigraph-population-fusion recurrent-graph-neural-network data-fusion data-integration
Language:Python 4
basiralab / SM-netFusion
SM-NetFusion for supervised multi-topology network cross-diffusion.
network-fusion graph-topology network-integration brain-networks brain-connectivity network-neuroscience machine-learning supervised-learning clustering network-atlas graph-diffusion sm-netfusion graph-data computer-aided-diagnosis autism-spectrum-disorder
Language:MATLAB 4
basiralab / SM-netFusion-PY
Supervised graph diffusion and fusion.
network-atlas sm-netfusion graph-data diffusion brain-network graph-diffusion data-fusion data-integration manifold-learning clustering supervised-learning brain-connectivity brain-connectome graph-fusion machine-learning network-neuroscience computer-aided-diagnosis
Language:Jupyter Notebook 4
basiralab / Fed2M
Federated Multimodal and Multiresolution Graph Integration
brain-connectivity cbt connectional-brain-template network-neuroscience federated-fusion graph-data-fusion multi-resolution-graph-fusion multimodal-data-fusion mutligraph-integration
Language:Python 3
basiralab / IMANGraphNet
Non-isomorphic Inter-modality Graph Alignment and Synthesis.
deep-learning deep-neural-networks graph-neural-networks graph-superresolution super-resolution graph-alignment domain-alignment brain brain-connectivity brain-networks network-neuroscience generative-learning predictive-medicine inter-modality-learning functional-mri structural-mri pytorch-geometric connectome-generation
Language:Python 3
basiralab / NAGFS
NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.
network-atlas network-fusion network-integration graph-fusion graph-classification feature-selection brain-connectivity biomarker-discovery graph-representation graph-template-learning network-neuroscience brain-disorder computer-aided-diagnosis
Language:MATLAB 3
basiralab / RESNets
Residual Embedding Similarity-based Network Selection (RESNets) for forecasting network dynamics.
resnets evolution-trajectories brain-networks adversarial-connectome-embedding connectional-brain-template cbt graph-embedding geometric-deep-learning network-neuroscience residual-learning similarity-learning sample-selection machine-learning deep-learning
Language:Python 3
basiralab / one-representative-shot-learning
One-representative shot learning for graph classification.
graph-classification gnn graph-neural-networks one-shot-learning graph-template cbt connectional-brain-template brain-connectivity network-neuroscience
Language:Python 2
OnnoKampman / FCEst-benchmarking
Benchmarks for functional connectivity estimators and FCEst Python package
functional-connectivity benchmarking fmri neuroimaging dynamic-functional-connectivity network-neuroscience fcest machine-learning time-varying-connectivity
Language:Python 2
thomasjdelaney / Network_Noise_Rejection_Python
The python implementation of the Network Noise Rejection method for community detection in undirected networks. Find the origin matlab version here: https://github.com/mdhumphries/NetworkNoiseRejection
networks network statistics neuroscience network-neuroscience python
Language:Python 2
basiralab / Dif-GSR
Diffusion-based Graph Super-resolution
brain-connectivity diffusion-models gnn graph-superresolution network-neuroscience
Language:Python 1
basiralab / LG-DADA
Learning-guided Graph Dual Adversarial Domain Alignment (LG-DADA) framework for predicting a target graph from a source graph.
graph-generation graph-neural-networks dual-network adversarial-learning domain-alignment clustering brain-connectivity network-neuroscience autism-spectrum-disorder graph-synthesis
Language:Python 1
basiralab / NAGFS-PY
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
network-atlas network-fusion network-integration graph-fusion network-neuroscience brain-connectivity feature-selection biomarker-discovery graph-representation graph-template-learning graph-classification brain-disorder
Language:Python 1
basiralab / RepFL
Heterogeneous federated learning for graph super-resolution
federated-learning graph-super-resolution heterogeneous-architectures limited-data network-neuroscience unsupervised-learning heterogeneous-learning
Language:Python 1
deangeckt / network_motifs
Detect and analyze Network Motifs of any network, with Python.
network-motifs network-neuroscience neuron neuroscience elegans network-science
Language:Jupyter Notebook 1
OnnoKampman / phd-thesis
LaTeX code for my PhD thesis.
fcest fmri functional-connectivity gpflow neuroimaging time-varying-connectivity wishart-processes connectome dynamic-functional-connectivity gaussian-processes latex latex-thesis machine-learning mgarch network-neuroscience
Language:TeX 1
YousefiLab / MDCA
Multi-Modal Dynamical Coherence Analysis Toolbox
coherence-analysis dynamical-systems latent-space network-neuroscience
Language:MATLAB 0
ColeLab / FlexHubMechanism
Publicly available code for "A flexible hub connectivity mechanism for cognitive control". Manuscript in-preparation. Part of C. Cocuzza's dissertation (Aim 3).
brain-connectivity brain-imaging brain-modeling cognitive-control computational-neuroscience distributed-brain-procesess fmri fmri-data-analysis functional-connectivity network-hub network-neuroscience predictive-modeling
deangeckt / Dendro-Synaptome
Analyzing the MICrONS connectome
network-neuroscience network-science neuron neuroscience
Language:Jupyter Notebook
gabridele / hub-identification
Code to identify hubs through degree of nodes, given adjacency matrices of a population sample
adjacency-matrix connectivity hubs network-neuroscience
Language:Jupyter Notebook