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Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)

Research article (Medical Image Analysis, 2022) · cited 37× · AI/ML
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Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)

Summary

Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs) is a scholarly article[1].

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  • Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)'s instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs). Retrieved May 24, 2026, from https://4ort.xyz/entity/modeling-spatio-temporal-patterns-of-holistic-functional-brain-networks-via-multi-head-guided-attention-graph-neural-net
MLA “Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/modeling-spatio-temporal-patterns-of-holistic-functional-brain-networks-via-multi-head-guided-attention-graph-neural-net.
BibTeX @misc{4ortxyz_modeling-spatio-temporal-patterns-of-holistic-functional-brain-networks-via-multi-head-guided-attention-graph-neural-net_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Modeling spatio-temporal patterns of holistic functional brain networks via multi-head guided attention graph neural networks (Multi-Head GAGNNs)}}, year = {2026}, url = {https://4ort.xyz/entity/modeling-spatio-temporal-patterns-of-holistic-functional-brain-networks-via-multi-head-guided-attention-graph-neural-net}, note = {Accessed: 2026-05-24}}
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