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Moo K. Chung

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

Mar 11, 2024
Jinghan Huang, Qiufeng Chen, Yijun Bian, Pengli Zhu, Nanguang Chen, Moo K. Chung, Anqi Qiu

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Sulcal Pattern Matching with the Wasserstein Distance

Jul 01, 2023
Zijian Chen, Soumya Das, Moo K. Chung

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

Feb 18, 2023
Jinghan Huang, Moo K. Chung, Anqi Qiu

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Dynamic Topological Data Analysis for Brain Networks via Wasserstein Graph Clustering

Jan 11, 2022
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, Vince D. Calhoun, H. Hill Goldsmith

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Dynamic Persistent Homology for Brain Networks via Wasserstein Graph Clustering

Jan 01, 2022
Moo K. Chung, Shih-Gu Huang, Ian C. Carroll, Vince D. Calhoun, H. Hill Goldsmith

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Topological Data Analysis of COVID-19 Virus Spike Proteins

May 01, 2021
Moo K. Chung, Hernando Ombao

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Introduction to Brain and Medical Images

Mar 09, 2021
Moo K. Chung

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Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering

Oct 26, 2020
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative

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Fast Mesh Data Augmentation via Chebyshev Polynomial of Spectral filtering

Oct 06, 2020
Shih-Gu Huang, Moo K. Chung, Anqi Qiu, Alzheimer's Disease Neuroimaging Initiative

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Introduction to logistic regression

Aug 28, 2020
Moo K. Chung

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