NeurosciencebioRxivPreprint
Predicting gender from structural and functional connectomes via brain and population graph neural networks
Yinan He, Yi Hao Chan, Jagath Chandana Rajapakse
This paper introduces BrainGAT, a graph neural network for gender classification using multimodal brain connectomes, achieving 83.13% accuracy on the Human Connectome Project dataset.
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