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Article

Brain network classification based on dynamic graph attention information bottleneck.

Computer methods and programs in biomedicine - 1 Jan 2024

Dong Changxu, Sun Dengdi

Abstract excerpt

BACKGROUND AND OBJECTIVES: Graph neural networks (GNN) have demonstrated remarkable encoding capabilities in the context of brain network classification tasks. They excel at uncovering hidden static connections between brain states. However, brain network signals can be influenced by physiological traits and external variables during clinical detection, resulting in noisy brain graphs. Additionally, many existing...

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PMID: 37952340
DOI: 10.1016/j.cmpb.2023.107913

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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