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BrainGB: A Benchmark for Brain Network Analysis with Graph Neural
  Networks
v1v2v3 (latest)

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

IEEE Transactions on Medical Imaging (IEEE TMI), 2022
17 March 2022
Hejie Cui
Wei Dai
Yanqiao Zhu
Xuan Kan
Antonio Aodong Chen Gu
Joshua Lukemire
Chen Tang
Lifang He
Ying Guo
Carl Yang
ArXiv (abs)PDFHTML

Papers citing "BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks"

26 / 26 papers shown
Title
Brain PathoGraph Learning
Brain PathoGraph Learning
Ciyuan Peng
Nguyen Linh Dan Le
Shan Jin
Dexuan Ding
Shuo Yu
Feng Xia
MedIm
85
0
0
26 Sep 2025
Brain-HGCN: A Hyperbolic Graph Convolutional Network for Brain Functional Network Analysis
Brain-HGCN: A Hyperbolic Graph Convolutional Network for Brain Functional Network Analysis
Junhao Jia
Yunyou Liu
Cheng Yang
Yifei Sun
F. Qin
Changmiao Wang
Yong Peng
72
0
0
18 Sep 2025
3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
3DViT-GAT: A Unified Atlas-Based 3D Vision Transformer and Graph Learning Framework for Major Depressive Disorder Detection Using Structural MRI Data
Nojod M. Alotaibi
Areej M. Alhothali
Manar S. Ali
40
0
0
15 Sep 2025
Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis
Structure Matters: Brain Graph Augmentation via Learnable Edge Masking for Data-efficient Psychiatric Diagnosis
Mujie Liu
Chenze Wang
Liping Chen
Nguyen Linh Dan Le
Niharika Tewari
Ting Dang
Jiangang Ma
Feng Xia
151
0
0
11 Sep 2025
RTGMFF: Enhanced fMRI-based Brain Disorder Diagnosis via ROI-driven Text Generation and Multimodal Feature Fusion
RTGMFF: Enhanced fMRI-based Brain Disorder Diagnosis via ROI-driven Text Generation and Multimodal Feature Fusion
Junhao Jia
Yifei Sun
Yunyou Liu
Cheng Yang
Changmiao Wang
Feiwei Qin
Yong Peng
Wenwen Min
72
2
0
03 Sep 2025
Reasoning in Computer Vision: Taxonomy, Models, Tasks, and Methodologies
Reasoning in Computer Vision: Taxonomy, Models, Tasks, and Methodologies
Ayushman Sarkar
Mohd Yamani Idna Idris
Zhenyu Yu
LRM
132
8
0
14 Aug 2025
A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders
A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders
Qianqian Liao
Wuque Cai
Hongze Sun
Dongze Liu
Duo Chen
Dezhong Yao
Daqing Guo
145
0
0
19 Jun 2025
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research
Salah Ghamizi
G. Kanli
Yu Deng
Magali Perquin
O. Keunen
MedImAI4CE
277
1
0
16 Jun 2025
BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization
BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization
Nguyen Linh Dan Le
Jing Ren
Ciyuan Peng
Chengyao Xie
Bowen Li
Feng Xia
99
2
0
12 Jun 2025
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
Xinxu Wei
K. Zhao
Yong Jiao
Lifang He
Yu Zhang
AI4CE
279
1
0
31 May 2025
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
Wei Dai
Peilin Chen
Malinda Lu
Daniel Li
Haowen Wei
Hejie Cui
Paul Pu Liang
LM&MA
267
11
0
09 Mar 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
350
14
0
24 Feb 2025
Biologically Plausible Brain Graph Transformer
Biologically Plausible Brain Graph TransformerInternational Conference on Learning Representations (ICLR), 2025
Ciyuan Peng
Yuelong Huang
Qichao Dong
Shuo Yu
Xiwei Xu
Chengqi Zhang
Yaochu Jin
273
5
0
13 Feb 2025
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help?
Keqi Han
Yao Su
Lifang He
Chen Tang
Sergey Plis
Vince D. Calhoun
Carl Yang
AI4CE
220
1
0
28 Jan 2025
A Comprehensive Survey of Foundation Models in Medicine
A Comprehensive Survey of Foundation Models in MedicineIEEE Reviews in Biomedical Engineering (RBME), 2024
Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
AI4CELM&MAVLM
630
63
0
17 Jan 2025
Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
Multi-atlas Ensemble Graph Neural Network Model For Major Depressive Disorder Detection Using Functional MRI Data
Nojod M. Alotaibi
Areej M. Alhothali
Manar S. Ali
199
2
0
31 Dec 2024
Multi-Stage Graph Learning for fMRI Analysis to Diagnose
  Neuro-Developmental Disorders
Multi-Stage Graph Learning for fMRI Analysis to Diagnose Neuro-Developmental Disorders
Wenjing Gao
Yuanyuan Yang
Jianrui Wei
Xuntao Yin
Xinhan Di
163
1
0
07 Oct 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation
  and Feature Learning
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
Zitong Wang
Xuexiong Luo
Enfeng Song
Qiuqing Bai
Fu Lin
165
2
0
13 Jul 2024
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal
  Brain Functional Connectome Embedding
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome EmbeddingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Zijian Dong
Yilei Wu
Yu Xiao
J. Chong
Yueming Jin
J. Zhou
MedIm
148
10
0
03 Jul 2023
Leveraging Brain Modularity Prior for Interpretable Representation
  Learning of fMRI
Leveraging Brain Modularity Prior for Interpretable Representation Learning of fMRIIEEE 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
153
14
0
24 Jun 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics
NeuroGraph: Benchmarks for Graph Machine Learning in Brain ConnectomicsNeural Information Processing Systems (NeurIPS), 2023
Anwar Said
Roza G. Bayrak
Hanyu Wang
Mudassir Shabbir
Daniel Moyer
Catie Chang
X. Koutsoukos
267
42
0
09 Jun 2023
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with
  Graph Neural Networks
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks
Yue Yu
Xuan Kan
Hejie Cui
Ran Xu
Yu Zheng
...
Kun Zhang
Razieh Nabi
Ying Guo
Chaogang Zhang
Carl Yang
143
18
0
01 Nov 2022
Brain Network Transformer
Brain Network TransformerNeural Information Processing Systems (NeurIPS), 2022
Xuan Kan
Wei Dai
Hejie Cui
Zilong Zhang
Ying Guo
Carl Yang
MedIm
144
163
0
13 Oct 2022
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder
  Analysis
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder AnalysisInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Hejie Cui
Wei Dai
Yanqiao Zhu
Xiaoxiao Li
Lifang He
Carl Yang
262
101
0
30 Jun 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
137
34
0
09 Jun 2022
On Positional and Structural Node Features for Graph Neural Networks on
  Non-attributed Graphs
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
Hejie Cui
Zijie Lu
Pan Li
Carl Yang
220
98
0
03 Jul 2021
1