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BrainNNExplainer: An Interpretable Graph Neural Network Framework for
  Brain Network based Disease Analysis

BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis

11 July 2021
Hejie Cui
Wei Dai
Yanqiao Zhu
Xiaoxiao Li
Lifang He
Carl Yang
ArXiv (abs)PDFHTML

Papers citing "BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis"

13 / 13 papers shown
Title
Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks
Uncovering Alzheimer's Disease Progression via SDE-based Spatio-Temporal Graph Deep Learning on Longitudinal Brain Networks
Houliang Zhou
Rong Zhou
Y. Liu
K. Zhao
Li Shen
Brian Chen
Yu Zhang
Lifang He
Alzheimer's Disease Neuroimaging Initiative
76
0
0
26 Sep 2025
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion
  Prediction with T1-MRI-based Brain Network
Adaptive Critical Subgraph Mining for Cognitive Impairment Conversion Prediction with T1-MRI-based Brain Network
Yilin Leng
Wenju Cui
Chen Bai
Xi Jiang
Shuangqing Chen
Jian Zheng
172
2
0
20 Mar 2024
Interpretable Sparsification of Brain Graphs: Better Practices and
  Effective Designs for Graph Neural Networks
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2023
Gao Li
M. Duda
Xinming Zhang
Danai Koutra
Yujun Yan
186
15
0
26 Jun 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for
  Interpretable Brain Network-Based Psychiatric Diagnosis
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric DiagnosisNeural Networks (Neural Netw.), 2023
Kaizhong Zheng
Shujian Yu
Badong Chen
CML
346
51
0
04 Jan 2023
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain
  Security to Brain Disease Prediction
Anomaly Detection in Multiplex Dynamic Networks: from Blockchain Security to Brain Disease Prediction
Ali Behrouz
Margo Seltzer
177
24
0
15 Nov 2022
Functional Connectome of the Human Brain with Total Correlation
Functional Connectome of the Human Brain with Total Correlation
Qiang Li
Greg Ver Steeg
Shujian Yu
Jesús Malo
315
28
0
06 Oct 2022
HIRE: Distilling High-order Relational Knowledge From Heterogeneous
  Graph Neural Networks
HIRE: Distilling High-order Relational Knowledge From Heterogeneous Graph Neural NetworksNeurocomputing (Neurocomputing), 2022
Jing Liu
Tongya Zheng
Qinfen Hao
109
10
0
25 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
  Model
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling ModelIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
Li Zhang
158
34
0
14 Jul 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-LearningKnowledge Discovery and Data Mining (KDD), 2022
Yi Yang
Yanqiao Zhu
Hejie Cui
Xuan Kan
Lifang He
Ying Guo
Carl Yang
129
34
0
09 Jun 2022
Principle of Relevant Information for Graph Sparsification
Principle of Relevant Information for Graph SparsificationConference on Uncertainty in Artificial Intelligence (UAI), 2022
Shujian Yu
Francesco Alesiani
Wenzhe Yin
Robert Jenssen
José C. Príncipe
183
13
0
31 May 2022
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with
  Graph Information Bottleneck
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information BottleneckIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Kaizhong Zheng
Shujian Yu
Baojuan Li
Robert Jenssen
Badong Chen
AI4MH
252
29
0
07 May 2022
Interpretable Graph Convolutional Network of Multi-Modality Brain
  Imaging for Alzheimer's Disease Diagnosis
Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease DiagnosisIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Houliang Zhou
Lifang He
Yu Zhang
Li Shen
Brian Chen
122
32
0
27 Apr 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural
  Networks
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural NetworksIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Hejie Cui
Wei Dai
Yanqiao Zhu
Xuan Kan
Antonio Aodong Chen Gu
Joshua Lukemire
Chen Tang
Lifang He
Ying Guo
Carl Yang
198
162
0
17 Mar 2022
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