most citedAdvancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data

2 citations · 2 across the 3 of their papers we have counts for

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cs.CV2023

Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data

Jinghan Huang, Moo K. Chung, Anqi Qiu

This study proposes a novel heterogeneous graph convolutional neural network (HGCNN) to handle complex brain fMRI data at regional and across-region levels. We introduce a generic…