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Modern neuroimaging techniques, such as diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), enable us to model the human brain as a brain network or connectome.
A whole brain fmri atlas generated via spatially constrained spectral clustering,
R. C. Craddock, G. A. James, P. E. Holtzheimer III, X. P. Hu, H. S. Mayberg, · 1928
Earlier work this paper cites.
Neuropathological stageing of alzheimer-related changes,
H. Braak, E. Braak, · 1991
Earlier work this paper cites.
Automated anatomical labeling of activations in spm using a macroscopic anatomical parcellation of the mni mri single-subject brain,
N. Tzourio-Mazoyer, B. Landeau, D. Papathanassiou, F. Crivello, O. Etard, N. Delcroix, B. Mazoyer, M. Joliot, · 2002
Earlier work this paper cites.
S. A. Huettel, A. W. Song, G. McCarthy, et al., Functional magnetic resonance imaging, volume 1, Sinauer Associates Sunderland, MA, 2004
2004
Earlier work this paper cites.
Advances in functional and structural mr image analysis and implementation as fsl,
S. M. Smith, M. Jenkinson, M. W. Woolrich, C. F. Beckmann, T. E. Behrens, H. Johansen-Berg, P. R. Bannister, M. De Luca, I. Drobnjak, D. E. Flitney, et al., · 2004
Earlier work this paper cites.
Identifying true brain interaction from eeg data using the imaginary part of coherency,
G. Nolte, O. Bai, L. Wheaton, Z. Mari, S. Vorbach, M. Hallett, · 2004
Earlier work this paper cites.
Diffusion tensor imaging of the brain,
A. L. Alexander, J. E. Lee, M. Lazar, A. S. Field, · 2007
Earlier work this paper cites.
Brain networks of spatial awareness: Evidence from diffusion tensor imaging tractography,
M. Urbanski, M. T. De Schotten, S. Rodrigo, et al., · 2008
Earlier work this paper cites.
Exploring the brain network: A review on resting-state fmri functional connectivity,
M. P. Van Den Heuvel, H. E. H. Pol, · 2010
Earlier work this paper cites.
Dparsf: A matlab toolbox for "pipeline" data analysis of resting-state fmri,
C. Yan, Y. Zang, · 2010
Earlier work this paper cites.
Fieldtrip: Open source software for advanced analysis of meg, eeg, and invasive electrophysiological data,
R. Oostenveld, P. Fries, E. Maris, J.-M. Schoffelen, · 2011
Earlier work this paper cites.
Alzheimer mechanisms and therapeutic strategies,
Y. Huang, L. Mucke, · 2012
Earlier work this paper cites.
Structural brain alterations can be detected early in hiv infection,
A. B. Ragin, H. Du, R. Ochs, Y. Wu, C. L. Sammet, A. Shoukry, L. G. Epstein, · 2012
Earlier work this paper cites.
Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks,
S. Whitfield-Gabrieli, A. Nieto-Castanon, · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks,
A. Krizhevsky, I. Sutskever, G. E. Hinton, · 2012
Earlier work this paper cites.
Efficient estimation of word representations in vector space,
T. Mikolov, K. Chen, G. Corrado, J. Dean, · 2013
Earlier work this paper cites.
Deepwalk: Online learning of social representations,
B. Perozzi, R. Al-Rfou, S. Skiena, · 2014
Earlier work this paper cites.
Deep learning,
Y. LeCun, Y. Bengio, G. Hinton, · 2015
Earlier work this paper cites.
Human-level control through deep reinforcement learning,
V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, et al., · 2015
Earlier work this paper cites.
Identification of discriminative subgraph patterns in fmri brain networks in bipolar affective disorder,
B. Cao, L. Zhan, X. Kong, P. S. Yu, N. Vizueta, L. L. Altshuler, A. D. Leow, · 2015
Earlier work this paper cites.
Deep reinforcement learning with double q-learning,
H. Van Hasselt, A. Guez, D. Silver, · 2016
Earlier work this paper cites.
Task sensitive feature exploration and learning for multitask graph classification,
S. Pan, J. Wu, X. Zhu, G. Long, C. Zhang, · 2016
Cited alongside, same era.
Node2vec: Scalable feature learning for networks,
A. Grover, J. Leskovec, · 2016
Cited alongside, same era.
t-bne: Tensor-based brain network embedding,
B. Cao, L. He, X. Wei, M. Xing, P. S. Yu, H. Klumpp, A. D. Leow, · 2017
Cited alongside, same era.
Semi-supervised classification with graph convolutional networks,
T. N. Kipf, M. Welling, · 2017
Cited alongside, same era.
Inductive representation learning on large graphs,
W. L. Hamilton, Z. Ying, J. Leskovec, · 2017
Cited alongside, same era.
Deep reinforcement learning: A brief survey,
K. Arulkumaran, M. P. Deisenroth, M. Brundage, A. A. Bharath, · 2017
Cited alongside, same era.
New graph-blind convolutional network for brain connectome data analysis,
Y. Zhang, H. Huang, · 2019
Later among the works it cites.
Motif-matching based subgraph-level attentional convolutional network for graph classification,
H. Peng, J. Li, Q. Gong, Y. Ning, S. Wang, L. He, · 2020
Later among the works it cites.
Deep learning for community detection: Progress, challenges and opportunities,
F. Liu, S. Xue, J. Wu, C. Zhou, W. Hu, C. Paris, S. Nepal, J. Yang, P. S. Yu, · 2020
Later among the works it cites.
Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,
D. Chen, Y. Lin, W. Li, P. Li, J. Zhou, X. Sun, · 2020
Later among the works it cites.
Policy-gnn: Aggregation optimization for graph neural networks,
K.-H. Lai, D. Zha, K. Zhou, X. Hu, · 2020
Later among the works it cites.
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Multi-view clustering with graph embedding for connectome analysis,
G. Ma, L. He, C.-T. Lu, W. Shao, P. S. Yu, A. D. Leow, A. B. Ragin, · 2017
Cited alongside, same era.
Structural deep brain network mining,
S. Wang, L. He, B. Cao, C.-T. Lu, P. S. Yu, A. B. Ragin, · 2017
Cited alongside, same era.
Multi-view multi-graph embedding for brain network clustering analysis,
Y. Liu, L. He, B. Cao, P. S. Yu, A. B. Ragin, A. D. Leow, · 2018
Cited alongside, same era.
Disease prediction using graph convolutional networks: Application to autism spectrum disorder and alzheimer’s disease,
S. Parisot, S. I. Ktena, E. Ferrante, M. Lee, R. Guerrero, B. Glocker, D. Rueckert, · 2018
Cited alongside, same era.
Multi-view graph convolutional network and its applications on neuroimage analysis for parkinson’s disease,
X. Zhang, L. He, K. Chen, Y. Luo, J. Zhou, F. Wang, · 2018
Cited alongside, same era.
Graph attention networks,
P. Velickovic, G. Cucurull, A. Casanova, A. Romero, P. Lio, Y. Bengio, · 2018
Cited alongside, same era.
Y. Dou, Z. Liu, L. Sun, Y. Deng, H. Peng, P. S. Yu, · 2020
Later among the works it cites.
Graph neural architecture search.,
Y. Gao, H. Yang, P. Zhang, C. Zhou, Y. Hu, · 2020
Later among the works it cites.
Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks,
Z. Yan, J. Ge, Y. Wu, L. Li, T. Li, · 2020
Later among the works it cites.
Pooling regularized graph neural network for fmri biomarker analysis,
X. Li, Y. Zhou, N. C. Dvornek, M. Zhang, J. Zhuang, P. Ventola, J. S. Duncan, · 2020
Later among the works it cites.
Gnea: A graph neural network with elm aggregator for brain network classification,
X. Bi, Z. Liu, Y. He, X. Zhao, Y. Sun, H. Liu, · 2020
Later among the works it cites.
Hi-gcn: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction,
H. Jiang, P. Cao, M. Xu, J. Yang, O. Zaiane, · 2020
Later among the works it cites.
Eeg-based emotion recognition using regularized graph neural networks,
P. Zhong, D. Wang, C. Miao, · 2020
Later among the works it cites.
Perceptual gating of a brainstem reflex facilitates speech understanding in human listeners,
H. Hernandez-Perez, J. Mikiel-Hunter, D. McAlpine, S. Dhar, S. Boothalingam, J. J. Monaghan, C. M. McMahon, · 2020
Later among the works it cites.
A comprehensive survey on graph anomaly detection with deep learning,
X. Ma, J. Wu, S. Xue, J. Yang, C. Zhou, Q. Z. Sheng, H. Xiong, L. Akoglu, · 2021
Later among the works it cites.
Reinforced neighborhood selection guided multi-relational graph neural networks,
H. Peng, R. Zhang, Y. Dou, R. Yang, J. Zhang, P. S. Yu, · 2021
Later among the works it cites.
Ds-gcns: Connectome classification using dynamic spectral graph convolution networks with assistant task training,
X. Xing, Q. Li, M. Yuan, H. Wei, Z. Xue, T. Wang, F. Shi, D. Shen, · 2021
Later among the works it cites.
Mgn-net: A multi-view graph normalizer for integrating heterogeneous biological network populations,
M. B. Gurbuz, I. Rekik, · 2021
Later among the works it cites.
Reinforced, incremental and cross-lingual event detection from social messages,
H. Peng, R. Zhang, S. Li, Y. Cao, S. Pan, P. Yu, · 2022
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Sugar: Subgraph neural network with reinforcement pooling and self-supervised mutual information mechanism,
Q. Sun, J. Li, H. Peng, J. Wu, Y. Ning, P. S. Yu, L. He, · 2091
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Graph u-nets,
H. Gao, S. Ji, · 2092
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