Graph Neural Networks in Network Neuroscience

7 June 2021

Papers citing "Graph Neural Networks in Network Neuroscience"

27 / 27 papers shown

Title
A brain-inspired generative model for EEG-based cognitive state identification Bin Hu Z. Guan 37 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 41 0 0 26 Apr 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 64 8 0 24 Feb 2025
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data Suryansh Vidya Kush Gupta Amir Aly Andy Wills Emmanuel Ifeachor Rohit Shankar 21 1 0 19 Sep 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 31 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 45 3 0 20 Jun 2024
Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li Yulin Zhao Zhengyu Wu Wentao Zhang Ronghua Li Guoren Wang MU 20 13 0 22 Jan 2024
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 22 1 0 27 May 2023
Fast Temporal Wavelet Graph Neural Networks D. Nguyen Manh Tuan Nguyen Truong Son-Hy Risi Kondor AI4TS 11 7 0 17 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 24 24 0 11 Feb 2023
A Topological Deep Learning Framework for Neural Spike Decoding Edward C. Mitchell Brittany Story D. Boothe P. Franaszczuk Vasileios Maroulas 13 8 0 01 Dec 2022
Reconstructing high-order sequence features of dynamic functional connectivity networks based on diversified covert attention patterns for Alzheimer's disease classification Zhixiang Zhang Biao Jie Zhengdong Wang Jie Zhou Yang Yang 11 0 0 19 Nov 2022
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores using Graph Neural Networks and Meta-Learning Imen Jegham I. Rekik 11 3 0 14 Sep 2022
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation Ece Cinar Sinem Elif Haseki Alaa Bessadok I. Rekik 4 2 0 13 Sep 2022
Towards better Interpretable and Generalizable AD detection using Collective Artificial Intelligence H. Nguyen Michael Clement Boris Mansencal Pierrick Coupé MedIm 15 6 0 07 Jun 2022
Modern Views of Machine Learning for Precision Psychiatry Z. Chen Prathamesh Kulkarni Kulkarni I. Galatzer-Levy Benedetta Bigio C. Nasca Yu Zhang 44 88 0 04 Apr 2022
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks Hejie Cui Wei Dai Yanqiao Zhu Xuan Kan Antonio Aodong Chen Gu Joshua Lukemire Liang Zhan Lifang He Ying Guo Carl Yang 6 110 0 17 Mar 2022
An explainability framework for cortical surface-based deep learning Fernanda L. Ribeiro S. Bollmann R. Cunnington A. M. Puckett FAtt AAML MedIm 16 2 0 15 Mar 2022
Recurrent Multigraph Integrator Network for Predicting the Evolution of Population-Driven Brain Connectivity Templates Oytun Demirbilek I. Rekik 21 5 0 06 Oct 2021
Inter-Domain Alignment for Predicting High-Resolution Brain Networks Using Teacher-Student Learning Basar Demir Alaa Bessadok I. Rekik 13 0 0 06 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction Umut Guvercin Mohammed Amine Gharsallaoui I. Rekik 15 6 0 06 Oct 2021
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint Alaa Bessadok Ahmed Nebli Mohamed Ali Mahjoub Gang Li Weili Lin D. Shen I. Rekik 9 3 0 06 Oct 2021
Explainability in Graph Neural Networks: A Taxonomic Survey Hao Yuan Haiyang Yu Shurui Gui Shuiwang Ji 162 589 0 31 Dec 2020
Deep Graph Normalizer: A Geometric Deep Learning Approach for Estimating Connectional Brain Templates Mustafa Burak Gurbuz I. Rekik 26 26 0 28 Dec 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 183 913 0 02 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,809 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,230 0 24 Nov 2016