@article{larsen2018adolescence,
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  pages={179--195},
  year={2018},
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@article{stein2019obsessive,
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@article{fairchild2019conduct,
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@article{ghosh2017oppositional,
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  year={2024},
  publisher={Nature Publishing Group UK London}
}

@article{noman2024graph,
  title={Graph autoencoders for embedding learning in brain networks and major depressive disorder identification},
  author={Noman, Fuad and others},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2024},
  publisher={IEEE}
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@ARTICLE{8408706,
  author={Zhang, Aiying and others},
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  year={2019},
  volume={23},
  number={4},
  pages={1479-1489},
  keywords={Correlation;Covariance matrices;Learning systems;Biomedical measurement;Functional magnetic resonance imaging;Informatics;Graphical models;Schizophrenia (SZ);brain connectivity;fMRI;Gaussian graphical models (GGMs);network comparison},
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@article{hu2021interpretable,
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@ARTICLE{Li2020_manifold,
  author={Xiao, Li and others},
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  title={A Manifold Regularized Multi-Task Learning Model for IQ Prediction From Two fMRI Paradigms}, 
  year={2020},
  volume={67},
  number={3},
  pages={796-806},
  keywords={Task analysis;Functional magnetic resonance imaging;Manifolds;Data models;Predictive models;Biological system modeling;Feature extraction;Functional connectivity;functional MRI;geometry;intelligence;multi-modal;multi-task learning},
  doi={10.1109/TBME.2019.2921207}}

@article{xiao2022distance,
  title={Distance correlation-based brain functional connectivity estimation and non-convex multi-task learning for developmental fMRI studies},
  author={Xiao, Li and others},
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  volume={69},
  number={10},
  pages={3039--3050},
  year={2022},
  publisher={IEEE}
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@article{finn2015functional,
  title={Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity},
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@article{qu2021brain,
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  author={Qu, Gang and others},
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  volume={69},
  number={5},
  pages={1696--1706},
  year={2021},
  publisher={IEEE}
}
% brain functional connecctivity to sub2sub%
@article{zhou2020prediction,
  title={Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI},
  author={Zhou, Zhongxing and others},
  journal={NeuroImage},
  volume={221},
  pages={117190},
  year={2020},
  publisher={Elsevier}
}

@misc{NDA,
  author       = {ABCD Study Consortium},
  title        = {ABCD Release 4.0},
  year         = {2021},
  publisher    = {National Institute of Mental Health Data Archive},
  doi          = {10.15154/1520591},
  url          = {https://doi.org/10.15154/1520591}
}
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@inproceedings{mutu2024associations,
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kipf2016semi,
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@article{wang2022cerebro,
  title={Cerebro-cerebellar dysconnectivity in children and adolescents with attention-deficit/hyperactivity disorder},
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  number={11},
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  author={Norman, Luke J and others},
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  volume={178},
  number={8},
  pages={744--751},
  year={2021},
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@article{aurelio2019learning,
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  year={2019},
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@article{fang2017fast,
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  year={2017},
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@inproceedings{hu2018multi,
  title={Multi-modal brain connectivity study using deep collaborative learning},
  author={Hu, Wenxing and others},
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  pages={66--73},
  year={2018},
  organization={Springer}
}

@inproceedings{goutte2005probabilistic,
  title={A probabilistic interpretation of precision, recall and F-score, with implication for evaluation},
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@article{xiao2018alternating,
  title={Alternating diffusion map based fusion of multimodal brain connectivity networks for IQ prediction},
  author={Xiao, Li and others},
  journal={IEEE Transactions on Biomedical Engineering},
  volume={66},
  number={8},
  pages={2140--2151},
  year={2018},
  publisher={IEEE}
}

%linear model%
@article{xiao2019manifold,
  title={A manifold regularized multi-task learning model for IQ prediction from two fMRI paradigms},
  author={Xiao, Li and others},
  journal={IEEE Transactions on Biomedical Engineering},
  volume={67},
  number={3},
  pages={796--806},
  year={2019},
  publisher={IEEE}
}

% graph model > manifold regularaztion term fc similarity+> behavioral similarity%


@article{kipf2016variational,
  title={Variational graph auto-encoders},
  author={Kipf, Thomas N and Welling, Max},
  journal={arXiv preprint arXiv:1611.07308},
  year={2016}
}


@article{hagler2019image,
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  pages={116091},
  year={2019},
  publisher={Elsevier}
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@article{qu2021ensemble,
  title={Ensemble manifold regularized multi-modal graph convolutional network for cognitive ability prediction},
  author={Qu, Gang and others},
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  volume={68},
  number={12},
  pages={3564--3573},
  year={2021},
  publisher={IEEE}
}
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@article{chen2024explainable,
  title={Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development},
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  volume={298},
  pages={120771},
  year={2024},
  publisher={Elsevier}
}

@article{wang2024deep,
  title={A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity during Brain Development},
  author={Wang, Yingying and others},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2024},
  publisher={IEEE}
}
@article{orlichenko2022latent,
  title={Latent similarity identifies important functional connections for phenotype prediction},
  author={Orlichenko, Anton and others},
  journal={IEEE Transactions on Biomedical Engineering},
  volume={70},
  number={6},
  pages={1979--1989},
  year={2022},
  publisher={IEEE}
}
@article{smitha2017resting,
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  author={Smitha, KA and others},
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  number={4},
  pages={305--317},
  year={2017},
  publisher={SAGE Publications Sage UK: London, England}
}

@article{yan2022deep,
  title={Deep learning in neuroimaging: Promises and challenges},
  author={Yan, Weizheng and others},
  journal={IEEE Signal Processing Magazine},
  volume={39},
  number={2},
  pages={87--98},
  year={2022},
  publisher={IEEE}
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@article{wang2024multiview,
  title={Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis},
  author={Wang, Wei and others},
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  volume={94},
  pages={103144},
  year={2024},
  publisher={Elsevier}
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@article{wang2023dynamic,
  title={Dynamic weighted hypergraph convolutional network for brain functional connectome analysis},
  author={Wang, Junqi and others},
  journal={Medical Image Analysis},
  volume={87},
  pages={102828},
  year={2023},
  publisher={Elsevier}
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@article{patel2024explainable,
  title={Explainable Multimodal Graph Isomorphism Network for Interpreting Sex Differences in Adolescent Neurodevelopment},
  author={Patel, Binish and others},
  journal={Applied Sciences},
  volume={14},
  number={10},
  pages={4144},
  year={2024},
  publisher={MDPI}
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@article{qu2024integrated,
  title={Integrated Brain Connectivity Analysis with fMRI, DTI, and sMRI Powered by Interpretable Graph Neural Networks},
  author={Qu, Gang and others},
  journal={ArXiv},
  pages={arXiv--2408},
  year={2024}
}
@article{yu2018statistical,
  title={Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data},
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  number={11},
  pages={4213--4227},
  year={2018},
  publisher={Wiley Online Library}
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@inproceedings{zhu2022joint,
  title={Joint embedding of structural and functional brain networks with graph neural networks for mental illness diagnosis},
  author={Zhu, Yanqiao and others},
  booktitle={2022 44th Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC)},
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  year={2022},
  organization={IEEE}
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@inproceedings{li2019graph,
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  year={2019},
  organization={Springer}
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@inproceedings{wang2022contrastive,
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  year={2022},
  organization={Springer}
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@article{sun2022effects,
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@article{thompson2019structure,
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