Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks

7 March 2017

Papers citing "Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks"

27 / 27 papers shown

Title
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 62 5 0 21 Oct 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation Peiyu Liang Hongchang Gao Xubin He 30 0 0 04 Jun 2024
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline Xuhang Chen Baiying Lei Chi-Man Pun Shuqiang Wang MedIm DiffM 22 21 0 11 Mar 2023
Graph similarity learning for change-point detection in dynamic networks Déborah Sulem Henry Kenlay Mihai Cucuringu Xiaowen Dong 32 14 0 29 Mar 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 36 3 0 04 Feb 2022
MHATC: Autism Spectrum Disorder identification utilizing multi-head attention encoder along with temporal consolidation modules Ranjeet Ranjan Jha Abhishek Bhardwaj Devina Garg Arnav V. Bhavsar A. Nigam 11 2 0 27 Dec 2021
DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease Junren Pan Baiying Lei Shuqiang Wang Bingchuan Wang Yong Liu Yanyan Shen 11 22 0 12 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 32 128 0 27 May 2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification Yichao Yan Jie Qin Jiaxin Chen Li Liu Fan Zhu Ying Tai Ling Shao 19 130 0 30 Apr 2021
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 47 122 0 04 Aug 2020
Enhancing the Association in Multi-Object Tracking via Neighbor Graph Tianyi Liang L. Lan Zhigang Luo VOT 24 17 0 01 Jul 2020
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 21 131 0 10 Jan 2020
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 51 944 0 06 Nov 2019
Graph Neural Network for Interpreting Task-fMRI Biomarkers Xiaoxiao Li Nicha Dvornek Yuan Zhou Juntang Zhuang P. Ventola James S. Duncan 27 102 0 02 Jul 2019
Learning Context Graph for Person Search Yichao Yan Qiang Zhang Bingbing Ni Wendong Zhang Minghao Xu Xiaokang Yang 21 188 0 03 Apr 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 39 1,320 0 11 Dec 2018
EEG-based video identification using graph signal modeling and graph convolutional neural network Soobeom Jang Seong-Eun Moon Jong-Seok Lee 17 49 0 12 Sep 2018
Learning-based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 24 99 0 10 Sep 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 12 526 0 05 Jun 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 22 264 0 23 May 2018
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease Xi Sheryl Zhang Lifang He Kun Chen Yuan Luo Jiayu Zhou Fei Wang 6 87 0 22 May 2018
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 24 657 0 22 May 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 29 140 0 02 Mar 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,236 0 24 Nov 2016