Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-modal Brain Networks

The multi-modal neuroimage study has provided insights into understanding the heteromodal relationships between brain network organization and behavioral phenotypes. Integrating data from various modalities facilitates the characterization of the interplay among anatomical, functional, and physiolog...

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Veröffentlicht in:	IEEE journal of biomedical and health informatics 2024-11, Vol.PP, p.1-13
Hauptverfasser:	Yang, Yanwu, Ye, Chenfei, Cai, Guoqing, Song, Kunru, Zhang, Jintao, Xiang, Yang, Ma, Ting
Format:	Artikel
Sprache:	eng
Schlagworte:	Biological neural networks brain Brain modeling Convolution Diffusion tensor imaging Functional magnetic resonance imaging Graph neural networks hypercomplex-GNN Multi-modal graph neural network neuroimage Organizations Phenotypes Scalability tensor Tensors
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