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M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
Research article (Medical Imaging with Deep Learning, 2021) · cited 19× · AI/ML
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
Summary
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations is a scholarly article[1].
Key Facts
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations. Retrieved May 24, 2026, from https://4ort.xyz/entity/m-gcn-a-multimodal-graph-convolutional-network-to-integrate-functional-and-structural-connectomics-data-to-predict-multi
MLA“M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/m-gcn-a-multimodal-graph-convolutional-network-to-integrate-functional-and-structural-connectomics-data-to-predict-multi.
BibTeX@misc{4ortxyz_m-gcn-a-multimodal-graph-convolutional-network-to-integrate-functional-and-structural-connectomics-data-to-predict-multi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations}}, year = {2026}, url = {https://4ort.xyz/entity/m-gcn-a-multimodal-graph-convolutional-network-to-integrate-functional-and-structural-connectomics-data-to-predict-multi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations — https://4ort.xyz/entity/m-gcn-a-multimodal-graph-convolutional-network-to-integrate-functional-and-structural-connectomics-data-to-predict-multi (retrieved 2026-05-24)
