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IA-GCN: Interpretable Attention based Graph Convolutional Network for
  Disease prediction

IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction

29 March 2021
Anees Kazi
Soroush Farghadani
Nassir Navab
    GNN
ArXivPDFHTML

Papers citing "IA-GCN: Interpretable Attention based Graph Convolutional Network for Disease prediction"

4 / 4 papers shown
Title
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking
Alireza Sadeghi
F. Hajati
A. Argha
Nigel H Lovell
Min Yang
Hamid Alinejad-Rokny
41
0
0
03 May 2025
Unsupervised pre-training of graph transformers on patient population
  graphs
Unsupervised pre-training of graph transformers on patient population graphs
Chantal Pellegrini
Nassir Navab
Anees Kazi
MedIm
AI4CE
46
11
0
21 Jul 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time
  Series
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
44
3
0
04 Feb 2022
Learning Dynamic Graph Representation of Brain Connectome with
  Spatio-Temporal Attention
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
Byung-Hoon Kim
Jong Chul Ye
Jae-Jin Kim
34
130
0
27 May 2021
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