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2001.03690
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Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis
Frontiers in Neuroscience (Front. Neurosci.), 2020
10 January 2020
Byung-Hoon Kim
J. C. Ye
AI4CE
GNN
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Papers citing
"Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis"
42 / 42 papers shown
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Minheng Chen
Xiaowei Yu
Jing Zhang
Tong Chen
Chao-Yang Cao
Yan Zhuang
Yanjun Lyu
Lu Zhang
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D. Zhu
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18 Mar 2025
Explainability of Deep Neural Networks for Brain Tumor Detection
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Cascaded two-stage feature clustering and selection via separability and consistency in fuzzy decision systems
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22 Jul 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review
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Po-Wah So
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304
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30 May 2024
ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI
NeuroImage (NeuroImage), 2024
Yuqi Fang
Junhao Zhang
Linmin Wang
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Mingxia Liu
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10 May 2024
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
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655
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Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain
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A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data
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Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
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Juho Lee
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205
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04 Dec 2023
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Xiatian Zhang
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Hubert P. H. Shum
Haozheng Zhang
Nan Song
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Hongxiao Jia
210
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Brain Networks and Intelligence: A Graph Neural Network Based Approach to Resting State fMRI Data
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Esra Akbas
Jiayu Chen
Ram Sapkota
Bhaskar Ray
Pranav Suresh
Vince D. Calhoun
Jingyu Liu
364
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06 Nov 2023
Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid
Charlotte Cambier van Nooten
Tom van de Poll
Sonja Füllhase
Jacco Heres
Tom Heskes
Yuliya Shapovalova
AI4CE
237
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02 Oct 2023
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification
Neural Networks (Neural Netw.), 2023
Junhao Zhang
Qianqian Wang
Xiaochuan Wang
Lishan Qiao
Mingxia Liu
251
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20 Aug 2023
DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI
IEEE Transactions on Medical Imaging (TMI), 2023
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Tolga Çukur
DiffM
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Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRI
IEEE Transactions on Biomedical Engineering (IEEE Trans. Biomed. Eng.), 2023
Qianqian Wang
Wei Wang
Yuqi Fang
P. Yap
Hongtu Zhu
Hong-jun Li
Lishan Qiao
Mingxia Liu
222
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24 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
Neural Information Processing Systems (NeurIPS), 2023
Anwar Said
Roza G. Bayrak
Hanyu Wang
Mudassir Shabbir
Daniel Moyer
Catie Chang
X. Koutsoukos
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BrainNPT: Pre-training of Transformer networks for brain network classification
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Jinlong Hu
Ya-Lin Huang
Nan Wang
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Benchmarking Graph Neural Networks for FMRI analysis
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191
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16 Nov 2022
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269
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27 Sep 2022
A Class-Aware Representation Refinement Framework for Graph Classification
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Jiaxing Xu
Jinjie Ni
Yiping Ke
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302
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Improving the Diagnosis of Psychiatric Disorders with Self-Supervised Graph State Space Models
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R. Thomas
G. Wingen
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193
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07 Jun 2022
Investigating Brain Connectivity with Graph Neural Networks and GNNExplainer
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Maksim Zhdanov
S. Steinmann
Nico Hoffmann
210
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04 Jun 2022
Deep Representations for Time-varying Brain Datasets
Knowledge Discovery and Data Mining (KDD), 2022
Sikun Lin
Shuyun Tang
Scott T. Grafton
Ambuj K. Singh
AI4CE
279
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23 May 2022
BolT: Fused Window Transformers for fMRI Time Series Analysis
H. Bedel
Irmak Sivgin
Onat Dalmaz
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Tolga Çukur
473
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23 May 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
Michael M. Bronstein
233
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01 Apr 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
431
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04 Feb 2022
Learning to Model the Relationship Between Brain Structural and Functional Connectomes
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2021
Yang Li
Gonzalo Mateos
Zhengwu Zhang
177
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18 Dec 2021
Forecasting Brain Activity Based on Models of Spatio-Temporal Brain Dynamics: A Comparison of Graph Neural Network Architectures
S. Wein
Alina Schüller
A. Tomé
W. Malloni
M. Greenlee
E. Lang
AI4CE
274
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08 Dec 2021
Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans
Katharina Zühlsdorff
Clayton M. Rabideau
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120
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Heterogeneous Graph-Based Multimodal Brain Network Learning
Gen Shi
Yifan Zhu
Wenjin Liu
Quanming Yao
Xia Li
357
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0
16 Oct 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
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315
953
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22 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
GNN
AI4CE
350
141
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01 Jul 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals
Andac Demir
T. Koike-Akino
Ye Wang
M. Haruna
Deniz Erdogmus
211
105
0
16 Jun 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Neural Information Processing Systems (NeurIPS), 2021
Byung-Hoon Kim
Jong Chul Ye
Jae-Jin Kim
451
198
0
27 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
Italian National Conference on Sensors (INS), 2021
David Ahmedt-Aristizabal
M. Armin
Akila Pemasiri
Clinton Fookes
L. Petersson
323
244
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27 May 2021
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction
Anees Kazi
Soroush Farghadani
Nassir Navab
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307
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29 Mar 2021
Generalizable Machine Learning in Neuroscience using Graph Neural Networks
Frontiers in Artificial Intelligence (FAI), 2020
Paul Yung-Pou Wang
Sandalika Sapra
V. George
Gabriel A. Silva
GNN
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158
18
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A Graph Neural Network Framework for Causal Inference in Brain Networks
S. Wein
W. Malloni
A. Tomé
Sebastian M. Frank
Gina-Isabelle Henze
S. Wüst
M. Greenlee
E. Lang
302
64
0
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Beyond Chemical 1D knowledge using Transformers
R. V. Deursen
Igor V. Tetko
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173
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Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
ACM Computing Surveys (ACM CSUR), 2020
S. Abadal
Akshay Jain
Robert Guirado
Jorge López-Alonso
Eduard Alarcón
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592
283
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30 Sep 2020
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