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A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism

Research article (Expert Systems with Applications, 2023) · cited 69× · AI/ML
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A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism

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A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism is a scholarly article[1].

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  • A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-eeg-based-graph-convolution-network-for-depression-detection-incorporating-secondary-subject-partitioning-and-at
MLA “A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-eeg-based-graph-convolution-network-for-depression-detection-incorporating-secondary-subject-partitioning-and-at.
BibTeX @misc{4ortxyz_a-novel-eeg-based-graph-convolution-network-for-depression-detection-incorporating-secondary-subject-partitioning-and-at_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel EEG-based graph convolution network for depression detection: Incorporating secondary subject partitioning and attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-eeg-based-graph-convolution-network-for-depression-detection-incorporating-secondary-subject-partitioning-and-at}, note = {Accessed: 2026-05-24}}
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