Self-Attention Equipped Graph Convolutions for Disease Prediction

Self-Attention Equipped Graph Convolutions for Disease Prediction

24 December 2018

Shayan Shekarforoush

Shadi Albarqouni

Nassir Navab

Papers citing "Self-Attention Equipped Graph Convolutions for Disease Prediction"

14 / 14 papers shown

Title
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification Jiaxing Xu Kai He Yue Tang Wei Li Mengcheng Lan Xia Dong Yiping Ke Mengling Feng 22 0 0 12 Apr 2025
Context-based Interpretable Spatio-Temporal Graph Convolutional Network for Human Motion Forecasting Edgar Medina Leyong Loh Namrata Gurung Kyung Hun Oh Niels Heller 3DH 48 3 0 21 Feb 2024
Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery Junbin Mao Jin Liu Han Lin Hulin Kuang Shirui Pan Yi-Lun Pan Shan Xie Fei Liu Yi Pan 26 1 0 03 Mar 2023
Unsupervised pre-training of graph transformers on patient population graphs Chantal Pellegrini Nassir Navab Anees Kazi MedIm AI4CE 46 11 0 21 Jul 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications Kamilia Mullakaeva Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab Michael M. Bronstein 35 6 0 01 Apr 2022
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions Chantal Pellegrini Anees Kazi Nassir Navab 21 2 0 23 Mar 2022
Brain dynamics via Cumulative Auto-Regressive Self-Attention Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 13 2 0 01 Nov 2021
Multi-modal Graph Learning for Disease Prediction Shuai Zheng Zhenfeng Zhu Zhizhe Liu Zhenyu Guo Yang Liu Yao Zhao 34 97 0 01 Jul 2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction Hao Chen Fuzhen Zhuang Li Xiao Ling Ma Haiyan Liu Ruifang Zhang Huiqin Jiang Qing He 21 14 0 16 Jun 2021
IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction Anees Kazi Soroush Farghadani Nassir Navab GNN 12 14 0 29 Mar 2021
Simultaneous imputation and disease classification in incomplete medical datasets using Multigraph Geometric Matrix Completion (MGMC) G. Vivar Anees Kazi Hendrik Burwinkel A. Zwergal Nassir Navab Seyed-Ahmad Ahmadi 17 15 0 14 May 2020
Latent-Graph Learning for Disease Prediction Luca Cosmo Anees Kazi Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein MedIm 6 66 0 27 Mar 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 14 129 0 11 Feb 2020
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks Hendrik Burwinkel Anees Kazi G. Vivar Shadi Albarqouni G. Zahnd Nassir Navab Seyed-Ahmad Ahmadi AI4CE 11 15 0 08 May 2019