Effective graph kernels for evolving functional brain networks
The graph kernel of the functional brain network is an effective method in the field of neuropsychiatric disease diagnosis like Alzheimer's Disease (AD). The traditional static brain networks cannot reflect dynamic changes of brain activities, but evolving brain networks, which are a series of...
Saved in:
Main Authors: | WANG, Xinlei, CHEN, Jinyi, DAI, Bing Tian, XIN, Junchang, GU, Yu, YU, Ge |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7802 https://ink.library.smu.edu.sg/context/sis_research/article/8805/viewcontent/EffectiveGraphKernels_av.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Effective graph kernels for evolving functional brain networks
by: WANG, Xinlei, et al.
Published: (2023) -
Automatic diagnosis with efficient medical case searching based on evolving graphs
by: Wang, X., et al.
Published: (2022) -
Poisson kernel: avoiding self-smoothing in graph convolutional networks
by: Yang, Ziqing, et al.
Published: (2022) -
Handwritten word image matching based on heat kernel signature
by: Zhang, X., et al.
Published: (2014) -
Efficient mining of multiple partial near-duplicate alignments by temporal network
by: TAN, Hung-Khoon, et al.
Published: (2010)