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Graph Neural Networks in Network Neuroscience

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

7 June 2021

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Papers citing "Graph Neural Networks in Network Neuroscience"

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Title
Crash-Consistent Checkpointing for AI Training on macOS/APFS Juha Jeon 16 0 0 23 Nov 2025
Neurocircuitry-Inspired Hierarchical Graph Causal Attention Networks for Explainable Depression Identification Weidao Chen Yuxiao Yang Yueming Wang 109 0 0 18 Nov 2025
Homomorphism distortion: A metric to distinguish them all and in the latent space bind them Martin Carrasco Olga Zaghen Erik Bekkers Bastian Rieck 68 0 0 04 Nov 2025
Bayesian Inference of Primordial Magnetic Field Parameters from CMB with Spherical Graph Neural Networks Juan Alejandro Pinto Castro Héctor J. Hortúa J. E. García-Farieta Roger Anderson Hurtado 60 0 0 23 Oct 2025
Dynamic Functional Connectivity Features for Brain State Classification: Insights from the Human Connectome Project Valeriya Kirova Dzerassa Kadieva Daniil Vlasenko Isak B. Blank Fedor Ratnikov 40 0 0 06 Oct 2025
Brain PathoGraph Learning Ciyuan Peng Nguyen Linh Dan Le Shan Jin Dexuan Ding Shuo Yu Feng Xia MedIm 73 0 0 26 Sep 2025
Graph Variate Neural Networks Om Roy Yashar Moshfeghi Keith Smith 60 0 0 24 Sep 2025
Precision Neural Networks: Joint Graph And Relational Learning Andrea Cavallo Samuel Rey Antonio G. Marques Elvin Isufi 73 0 0 18 Sep 2025
CoVariance Filters and Neural Networks over Hilbert Spaces Claudio Battiloro Andrea Cavallo Elvin Isufi 137 0 0 16 Sep 2025
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics Mayssa Soussia Yijun Lin Mohamed Ali Mahjoub I. Rekik 44 0 0 13 Sep 2025
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Arefin Niam T. Kosar M. S. Q. Z. Nine GNN 64 0 0 05 Sep 2025
GraphTreeGen: Subtree-Centric Approach to Efficient and Supervised Graph Generation Yitong Luo Islem Rekik 100 0 0 13 Aug 2025
TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations Mert Can Cakmak Nitin Agarwal Diwash Poudel 170 0 0 03 Jun 2025
Quantitative Error Feedback for Quantization Noise Reduction of Filtering over Graphs Xue Xian Zheng Weihang Liu Xin Lou Stefan Vlaski Tareq Al-Naffouri MQ 161 0 0 02 Jun 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding Manuel Lecha Andrea Cavallo Francesca Dominici Ran Levi Alessio Del Bue Elvin Isufi Pietro Morerio Claudio Battiloro AI4CE 316 2 0 23 May 2025
A brain-inspired generative model for EEG-based cognitive state identification Bin Hu Z. Guan 268 0 0 03 May 2025
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 266 0 0 26 Apr 2025
Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary PerturbationsComputer Vision and Pattern Recognition (CVPR), 2025 Jiate Li Meng Pang Yun Dong Binghui Wang AAML 249 1 0 24 Mar 2025
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 334 14 0 24 Feb 2025
Graph-Based Deep Learning on Stereo EEG for Predicting Seizure Freedom in Epilepsy Patients Artur Agaronyan Syeda Abeera Amir Nunthasiri Wittayanakorn John Schreiber M. Linguraru William Gaillard Chima Oluigbo Syed Muhammad Anwar 103 2 0 24 Feb 2025
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 253 5 0 13 Feb 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Miao Hu Zhilin Guo Rong-Hua Li Guoren Wang MU 290 5 0 06 Jan 2025
Enhanced Spatial Clustering of Single-Molecule Localizations with Graph Neural Networks Jesús Pineda Sergi Masó-Orriols Joan Bertran Mattias Goksör Giovanni Volpe Carlo Manzo Carlo Manzo 166 1 0 29 Nov 2024
Strongly Topology-preserving GNNs for Brain Graph Super-resolution Pragya Singh Islem Rekik 134 1 0 01 Nov 2024
Sparse Covariance Neural Networks Andrea Cavallo Zhan Gao Elvin Isufi 161 5 0 02 Oct 2024
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling K. Mancini I. Rekik 164 2 0 29 Sep 2024
NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human ConnectomesNeural Information Processing Systems (NeurIPS), 2024 Ziquan Wei Tingting Dan Jiaqi Ding Guorong Wu MedIm 303 3 0 26 Sep 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data Suryansh Vidya Kush Gupta Amir Aly Andy Wills Emmanuel Ifeachor Rohit Shankar 275 2 0 19 Sep 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 219 0 0 26 Jul 2024
MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction Luhui Cai Weiming Zeng Hongyu Chen Hua Zhang Yueyang Li Hongjie Yan Lingbin Bian Lingbin Bian Wai Ting Siok Nizhuan Wang MedIm 236 8 0 20 Jun 2024
A Review of Graph Neural Networks in Epidemic Modeling Zewen Liu Guancheng Wan B. A. Prakash Max S. Y. Lau Wei Jin AI4CE 166 73 0 28 Mar 2024
ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution Zhen-Qiang Zhou Qihe Huang Binwu Wang Jianpeng Hou Kuo Yang Yuxuan Liang Yang Wang AI4TS 159 0 0 04 Mar 2024
Towards Effective and General Graph Unlearning via Mutual EvolutionAAAI Conference on Artificial Intelligence (AAAI), 2024 Miao Hu Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 229 29 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology HeterogeneityIEEE International Conference on Data Engineering (ICDE), 2024 Miao Hu Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 157 20 0 22 Jan 2024
A Primer on Temporal Graph LearningACM Computing Surveys (ACM CSUR), 2024 Aniq Ur Rahman J. Coon AI4CE 196 1 0 08 Jan 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data Michalis Pistos Gang Li Weili Lin Dinggang Shen I. Rekik 207 1 0 01 Jan 2024
FALCON: Feature-Label Constrained Graph Net Collapse for Memory Efficient GNNs Christopher Adnel I. Rekik GNN 99 0 0 27 Dec 2023
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning Liang Peng Songyue Cai Zongqian Wu Huifang Shang Xiaofeng Zhu Xiaoxiao Li 195 23 0 22 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Miao Hu Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 172 19 0 07 Dec 2023
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers Byung-Hoon Kim Jungwon Choi Eunggu Yun Kyungsang Kim Xiang Li Juho Lee AI4CE 116 4 0 04 Dec 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 246 32 0 16 Oct 2023
Graph Neural Network-based EEG Classification: A SurveyIEEE transactions on neural systems and rehabilitation engineering (IEEE TNSRE), 2023 D. Klepl Min Wu F. He 155 54 0 03 Oct 2023
Body Fat Estimation from Surface Meshes using Graph Neural Networks Tamara T. Mueller Si-Ping Zhou Sophie Starck F. Jungmann Alexander Ziller Orhun Aksoy Danylo Movchan R. Braren Georgios Kaissis Daniel Rueckert 3DH 157 4 0 13 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge DistillationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 309 2 0 02 Jul 2023
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 145 13 0 24 Jun 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUsACM International Conference on Computing Frontiers (CF), 2023 Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 163 5 0 27 May 2023
Transformer and Snowball Graph Convolution Learning for Brain functional network Classification Jinlong Hu Ya-Lin Huang Shoubin Dong 187 2 0 28 Mar 2023
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics ManifoldsInformation Processing in Medical Imaging (IPMI), 2023 N. S. D'Souza A. Venkataraman 100 3 0 27 Mar 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential EquationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 191 5 0 22 Feb 2023
Fast Temporal Wavelet Graph Neural Networks D. Nguyen Manh Tuan Nguyen Truong-Son Hy Risi Kondor AI4TS 147 7 0 17 Feb 2023