NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification
<italic>Goal:</italic> The purpose of this paper is to recognize autism spectrum disorders (ASD) using graph attention network. <italic>Methods:</italic> we propose a node features graph attention network (NF-GAT) for learning functional connectivity (FC) features to achieve...
Saved in:
Main Authors: | Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Open Journal of Engineering in Medicine and Biology |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10109139/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
“Out of sight out of mind”: attentional characteristics in mothers who have children with autism
by: Xue Du, et al.
Published: (2025-02-01) -
Bibliometric analysis of trends in dental management of the children with Autism Spectrum Disorder (ASD)
by: Kanwalpreet Kaur, et al.
Published: (2025-01-01) -
Social behavior in ASD males: The interplay between cognitive flexibility, working memory, and functional connectivity deviations
by: Shi Yu Chan, et al.
Published: (2025-01-01) -
STUDI FENEMONOLEGI: STRATEGI KOPING ORANG TUA DALAM MERAWAT ANAK AUTISM SPECTRUM DISORDER (ASD)
by: Ridhoyanti Hidayah, et al.
Published: (2017-07-01) -
ASD: Interaction and socialisation through an adapted social network
by: Filipe Costa Pereira, et al.
Published: (2025-02-01)