GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

Research article (BMC Bioinformatics, 2021) · cited 60× · AI/ML
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GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

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GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/gat-li-a-graph-attention-network-based-learning-and-interpreting-method-for-functional-brain-network-classification
MLA “GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gat-li-a-graph-attention-network-based-learning-and-interpreting-method-for-functional-brain-network-classification.
BibTeX @misc{4ortxyz_gat-li-a-graph-attention-network-based-learning-and-interpreting-method-for-functional-brain-network-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification}}, year = {2026}, url = {https://4ort.xyz/entity/gat-li-a-graph-attention-network-based-learning-and-interpreting-method-for-functional-brain-network-classification}, note = {Accessed: 2026-05-24}}
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