Research graph
References from Modular constraint-based joint dynamic functional brain graph learning model for identifying brain disorders. Local targets link to admitted publications; unresolved targets remain external evidence.
Community detection and stochastic block models: recent developments
2018 · External reference
Exact recovery in the stochastic block model
10.1109/tit.2015.2490670 · 2016 · External reference
Tracking whole-brain connectivity dynamics in the resting state
10.1093/cercor/bhs352 · 2014 · External reference
Simultaneous prediction and community detection for networks with application to neuroimaging
10.48550/arxiv.2002.01645 · 2020 · External reference
BolT: fused window transformers for fMRI time series analysis
10.1016/j.media.2023.102841 · 2023 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Complex brain networks: graph theoretical analysis of structural and functional systems
10.1038/nrn2575 · 2009 · External reference
Individual-level brain morphological similarity networks: current methodologies and applications
10.1111/cns.14384 · 2023 · External reference
On the equivalence between graph isomorphism testing and function approximation with GNNs
10.48550/arxiv.1905.12560 · 2019 · External reference
MAF-GNN: graph neural network-based multi-atlas brain functional information fusion for major depressive disorder diagnosis with rs-fMRI
10.1016/j.ipm.2025.104524 · 2026 · External reference
The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation
10.1186/s12864-019-6413-7 · 2020 · External reference
Multi-scale graph representation learning for autism identification with functional MRI
10.3389/fninf.2021.802305 · 2022 · External reference
Defining functional areas in individual human brains using resting functional connectivity MRI
10.1016/j.neuroimage.2008.01.066 · 2008 · External reference
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism
10.1038/mp.2013.78 · 2014 · External reference
Resting-state connectivity biomarkers define neurophysiological subtypes of depression
10.1038/nm.4246 · 2017 · External reference
Neural-prior stochastic block model
10.1088/2632-2153/ace60f · 2023 · External reference
Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection
10.1073/pnas.1204185109 · 2012 · External reference
The connectomics of brain disorders
10.1038/nrn3901 · 2015 · External reference
Strategy optimization of controlled evolutionary games on a two-layer coupled network using lebesgue sampling
10.1016/j.nahs.2024.101570 · 2025 · External reference
Methods for calculating sensitivity and specificity of clustered data: a tutorial
10.1148/radiol.12120509 · 2012 · External reference
Speech recognition with deep recurrent neural networks
2013 · External reference
Biomarkers derived from alterations in overlapping community structure of resting-state brain functional networks for detecting Alzheimer’s disease
10.1016/j.neuroscience.2021.12.031 · External reference
A survey on vision transformer
10.1109/tpami.2022.3152247 · External reference
Neuronal connectivity in major depressive disorder: a systematic review
10.2147/ndt.s170989 · 2018 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
Stochastic blockmodels: first steps
10.1016/0378-8733(83)90021-7 · 1983 · External reference
Using AUC and accuracy in evaluating learning algorithms
10.1109/tkde.2005.50 · 2005 · External reference
Dynamic functional connectivity: promise, issues, and interpretations
10.1016/j.neuroimage.2013.05.079 · 2013 · External reference
Brain network transformer
10.48550/arxiv.2210.06681 · 2022 · External reference
Machine learning in resting-state fMRI analysis
10.1016/j.mri.2019.05.031 · 2019 · External reference
Learning dynamic brain connectome with graph transformers for psychiatric diagnosis classification
2024 · External reference
Understanding graph isomorphism network for rs-fMRI functional connectivity analysis
10.3389/fnins.2020.00630 · 2020 · External reference
Learning dynamic graph representation of brain connectome with spatio-temporal attention
10.48550/arxiv.2105.13495 · 2021 · External reference
Semi-supervised classification with graph convolutional networks
10.48550/arxiv.1609.02907 · 2016 · External reference
Relation between structural and functional connectivity in major depressive disorder
10.1016/j.biopsych.2012.12.024 · 2013 · External reference
Sliding-window filtering: an efficient algorithm for incremental mining
2001 · External reference
Real structure-preserving algorithms of householder based transformations for quaternion matrices
10.1016/j.cam.2016.03.031 · 2016 · External reference
Abnormal activation of the occipital lobes during emotion picture processing in major depressive disorder patients
10.4103/1673-5374.121696 · 2013 · External reference
Functional and structural alterations in different durations of untreated illness in the frontal and parietal lobe in major depressive disorder
10.1007/s00406-023-01625-7 · 2024 · External reference
Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic–clonic seizure
10.1002/hbm.23430 · 2017 · External reference
Environmental neuroscience linking exposome to brain structure and function underlying cognition and behavior
10.1038/s41380-022-01669-6 · 2023 · External reference
Analytic and numerical stability of delay differential equations with variable impulses
10.1016/j.amc.2019.04.051 · 2019 · External reference
Pretraining is all you need: a multi-atlas enhanced transformer framework for autism spectrum disorder classification
2023 · External reference
Disease prediction using graph convolutional networks: application to autism spectrum disorder and alzheimer’s disease
10.1016/j.media.2018.06.001 · 2018 · External reference
Image transformer
2018 · External reference
A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging
10.1214/20-aoas1339 · 2020 · External reference
Enhancing attention network spatiotemporal dynamics for motor rehabilitation in Parkinson’s disease
10.34133/cbsystems.0293 · 2025 · External reference
Hierarchical block structures and high-resolution model selection in large networks
10.1103/physrevx.4.011047 · 2014 · External reference
Region of interest analysis for fMRI
10.1093/scan/nsm006 · 2007 · External reference
The graph neural network model
10.1109/tnn.2008.2005605 · 2008 · External reference
Explainable normative modeling for brain disorder identification in resting-state fMRI
10.1109/tmi.2025.3631105 · 2026 · External reference
Graph neural network with modular attention for identifying brain disorders
10.1016/j.bspc.2024.107252 · 2025 · External reference
The human connectome: a complex network
10.1111/j.1749-6632.2010.05888.x · 2011 · External reference
Modular brain networks
10.1146/annurev-psych-122414-033634 · 2016 · External reference
What are sensitivity and specificity?
10.1136/ebnurs-2019-103225 · 2020 · External reference
Streaming dynamic graph neural networks for continuous-time temporal graph modeling
2021 · External reference
Attention is all you need
2017 · External reference
Graph attention networks
10.48550/arxiv.1710.10903 · 2017 · External reference
Self-supervised graph contrastive learning with diffusion augmentation for functional MRI analysis and brain disorder detection
10.1016/j.media.2024.103403 · 2025 · External reference
MAGE: automatic diagnosis of autism spectrum disorders using multi-atlas graph convolutional networks and ensemble learning
10.1016/j.neucom.2020.06.152 · 2022 · External reference
Parcellation-dependent small-world brain functional networks: a resting-state fMRI study
10.1002/hbm.20623 · 2009 · External reference
Graph-based network analysis of resting-state functional MRI
10.3389/fnsys.2010.00016 · 2010 · External reference
A new structure-preserving algorithm based on the semi-tensor product of matrices for split quaternion matrix LDU decomposition and its applications
10.1016/j.cam.2024.116072 · 2024 · External reference
A feasible method for optimization with orthogonality constraints
10.1007/s10107-012-0584-1 · 2013 · External reference
Aging-related changes in the default mode network and its anti-correlated networks: a resting-state fMRI study
10.1016/j.neulet.2011.08.059 · 2011 · External reference
BrainNet viewer: a network visualization tool for human brain connectomics
10.1371/journal.pone.0068910 · 2013 · External reference
Reduced default mode network functional connectivity in patients with recurrent major depressive disorder
10.1073/pnas.1900390116 · External reference
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
10.1016/j.ebiom.2019.08.023 · External reference
Adaptive spatial–temporal aware graph learning for EEG-based emotion recognition
10.34133/cbsystems.0088 · 2024 · External reference
Quantifying sharpness and nonlinearity in neonatal seizure dynamics
10.34133/cbsystems.0076 · 2024 · External reference
Identity-aware graph neural networks
10.1609/aaai.v35i12.17283 · 2021 · External reference
Brain structure alterations in depression: psychoradiological evidence
10.1111/cns.12835 · 2018 · External reference
Resting-state network alterations in depression: a comprehensive meta-analysis of functional connectivity
10.1017/s0033291725000303 · External reference
Linking environmental exposures to depression: insights from epidemiology, biology, and methodology
10.71321/ymyc0370 · External reference
